Feature Extraction
Transformers
Safetensors
PyTorch
reve
eeg
neuroscience
foundation-model
custom_code
Eval Results (legacy)
Instructions to use brain-bzh/reve-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use brain-bzh/reve-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="brain-bzh/reve-large", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("brain-bzh/reve-large", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload LICENSE
Browse files
LICENSE
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| 1 |
+
# REVE RESPONSIBLE USE LICENSE v1.0
|
| 2 |
+
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| 3 |
+
Effective date: 14 September 2026
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| 4 |
+
|
| 5 |
+
This License governs use of the REVE model made available with this License.
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| 6 |
+
|
| 7 |
+
The purpose of this License is to permit broad research, commercial, educational, and personal use of REVE while protecting the privacy, safety, and fundamental rights of individuals whose data may have contributed to the Model or whose data may subsequently be processed using it.
|
| 8 |
+
|
| 9 |
+
This License is informed by data-protection and responsible-AI principles, including those discussed in EDPB Opinion 28/2024. Such references are provided for context only and do not incorporate those documents into this License.
|
| 10 |
+
|
| 11 |
+
## 1. Definitions
|
| 12 |
+
|
| 13 |
+
**“Licensor”** means Institut Mines-Télécom Atlantique Bretagne-Pays de la Loire (“IMT Atlantique”), the entity holding the relevant intellectual-property rights in the Model and making the Model available under this License.
|
| 14 |
+
|
| 15 |
+
**“Model”** means the REVE machine-learning model checkpoint distributed with this License, including its weights, parameters, configuration files, and other model-specific artifacts expressly identified as covered by this License.
|
| 16 |
+
|
| 17 |
+
**“Derivative Model”** means, for purposes of this License, any modification, adaptation, fine-tune, merge, quantization, pruning, conversion, adapter, or other model or artifact based on or incorporating all or part of the Model or its parameters.
|
| 18 |
+
|
| 19 |
+
For clarity, an output or embedding produced through ordinary operation of the Model is not, solely for that reason, a Derivative Model.
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| 20 |
+
|
| 21 |
+
**“Output”** means any representation, prediction, embedding, feature, or other result produced by operating the Model.
|
| 22 |
+
|
| 23 |
+
**“You”** means the individual or legal entity exercising rights granted by this License.
|
| 24 |
+
|
| 25 |
+
## 2. Acceptance and License Grant
|
| 26 |
+
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| 27 |
+
By downloading, copying, modifying, redistributing, operating, deploying, or otherwise exercising rights in the Model under this License, You accept and agree to comply with this License.
|
| 28 |
+
|
| 29 |
+
If You do not agree to this License, You are not granted permission to use, copy, modify, redistribute, or deploy the Model.
|
| 30 |
+
|
| 31 |
+
Subject to continued compliance with this License, the Licensor grants You a worldwide, non-exclusive, royalty-free license to:
|
| 32 |
+
|
| 33 |
+
1. use and operate the Model for research, commercial, educational, or personal purposes;
|
| 34 |
+
2. reproduce the Model;
|
| 35 |
+
3. modify the Model and create Derivative Models;
|
| 36 |
+
4. copy, redistribute, publish, and host the Model and Derivative Models in accordance with Section 5; and
|
| 37 |
+
5. use and distribute Outputs,
|
| 38 |
+
|
| 39 |
+
subject in all cases to the restrictions below.
|
| 40 |
+
|
| 41 |
+
No rights are granted except those expressly provided by this License.
|
| 42 |
+
|
| 43 |
+
## 3. Prohibited Uses
|
| 44 |
+
|
| 45 |
+
You may not use the Model, a Derivative Model, or Outputs for any of the following purposes.
|
| 46 |
+
|
| 47 |
+
### 3.1 Privacy Intrusion, Reconstruction, or Re-identification
|
| 48 |
+
|
| 49 |
+
You must not intentionally:
|
| 50 |
+
|
| 51 |
+
a. extract, reconstruct, recover, or infer subject-level EEG recordings, personal data, or other information relating to an identifiable individual from the Model, its parameters, representations, or Outputs;
|
| 52 |
+
|
| 53 |
+
b. perform model-inversion, training-data extraction, membership-inference, or substantially similar attacks for the purpose of learning information about identifiable individuals or determining whether an identifiable individual or record was included in the Model's training data;
|
| 54 |
+
|
| 55 |
+
c. use embeddings, representations, Outputs, or parameters of the Model to re-identify an individual from data that has been anonymised, pseudonymised, de-identified, or otherwise separated from their identity; or
|
| 56 |
+
|
| 57 |
+
d. assist another person in carrying out any activity prohibited by this Section.
|
| 58 |
+
|
| 59 |
+
Controlled privacy or security evaluation involving such techniques requires prior written authorization from the Licensor.
|
| 60 |
+
|
| 61 |
+
Nothing in this Section prohibits aggregate scientific analysis that is not intended, and is not reasonably likely, to identify or recover information concerning particular individuals.
|
| 62 |
+
|
| 63 |
+
### 3.2 Identification, Surveillance, and Non-consensual Profiling
|
| 64 |
+
|
| 65 |
+
You must not use the Model to:
|
| 66 |
+
|
| 67 |
+
a. identify, authenticate, or track a natural person on the basis of EEG, neural activity, or representations derived from such data;
|
| 68 |
+
|
| 69 |
+
b. conduct covert or non-consensual surveillance of natural persons;
|
| 70 |
+
|
| 71 |
+
c. infer or profile a person's cognitive, emotional, psychological, neurological, behavioral, or other sensitive state without a valid research, medical, legal, or other appropriate basis and, where applicable, the person's informed consent; or
|
| 72 |
+
|
| 73 |
+
d. create or materially contribute to systems intended for population-scale surveillance or behavioral profiling of natural persons.
|
| 74 |
+
|
| 75 |
+
This Section does not prohibit ordinary EEG monitoring, neuroscience research, brain-computer-interface research, or clinical use performed with appropriate consent or another lawful and ethically appropriate basis.
|
| 76 |
+
|
| 77 |
+
### 3.3 Discrimination and High-impact Abuse
|
| 78 |
+
|
| 79 |
+
You must not use the Model to:
|
| 80 |
+
|
| 81 |
+
a. unlawfully discriminate against, or facilitate unfair or harmful differential treatment of, individuals or groups based on protected characteristics, health status, disability, or sensitive characteristics inferred from neural data;
|
| 82 |
+
|
| 83 |
+
b. perform social scoring or comparable evaluation of persons that results in unjustified or disproportionate adverse treatment;
|
| 84 |
+
|
| 85 |
+
c. make or materially support decisions concerning employment, education, insurance, credit, housing, law enforcement, or access to essential services where the use of neural information would be unlawful, discriminatory, or inconsistent with applicable safeguards; or
|
| 86 |
+
|
| 87 |
+
d. exploit vulnerabilities associated with age, disability, health, economic circumstances, or other conditions in a manner intended or reasonably likely to cause significant harm.
|
| 88 |
+
|
| 89 |
+
### 3.4 Manipulation and Harm
|
| 90 |
+
|
| 91 |
+
You must not use the Model to intentionally:
|
| 92 |
+
|
| 93 |
+
a. manipulate or coerce individuals through deceptive, subliminal, or exploitative techniques in a manner that materially impairs their ability to make informed decisions and causes or is reasonably likely to cause significant harm;
|
| 94 |
+
|
| 95 |
+
b. facilitate physical or psychological harm to individuals; or
|
| 96 |
+
|
| 97 |
+
c. develop or deploy systems whose principal purpose is otherwise incompatible with the safety, dignity, autonomy, or fundamental rights of natural persons.
|
| 98 |
+
|
| 99 |
+
### 3.5 Unlawful Use
|
| 100 |
+
|
| 101 |
+
You must not use the Model in violation of applicable law or regulation, including applicable requirements concerning:
|
| 102 |
+
|
| 103 |
+
- privacy and personal-data protection;
|
| 104 |
+
- human-subject research;
|
| 105 |
+
- medical or clinical use;
|
| 106 |
+
- discrimination;
|
| 107 |
+
- cybersecurity; or
|
| 108 |
+
- artificial-intelligence systems.
|
| 109 |
+
|
| 110 |
+
Compliance with this License does not by itself establish compliance with any applicable law.
|
| 111 |
+
|
| 112 |
+
## 4. Data Protection and Security
|
| 113 |
+
|
| 114 |
+
Where Your use of the Model involves EEG or other information relating to natural persons, You are responsible for ensuring that data processing carried out through Your use complies with applicable law.
|
| 115 |
+
|
| 116 |
+
Where applicable, You must implement reasonable measures appropriate to the circumstances, including:
|
| 117 |
+
|
| 118 |
+
1. limiting collected and processed data to what is reasonably necessary for the intended purpose;
|
| 119 |
+
2. pseudonymising or de-identifying data where reasonably possible;
|
| 120 |
+
3. implementing access controls and appropriate technical and organisational security measures;
|
| 121 |
+
4. protecting Model access and Model Outputs against unauthorized disclosure or misuse;
|
| 122 |
+
5. providing appropriate transparency concerning the purpose and material limitations of the system;
|
| 123 |
+
6. obtaining any consent, ethical approval, legal basis, or regulatory authorization required for the relevant use; and
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| 124 |
+
7. respecting applicable rights of data subjects.
|
| 125 |
+
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| 126 |
+
Possession of or access to the Model must not be treated as evidence that the Model or its training data are anonymous for purposes of applicable data-protection law.
|
| 127 |
+
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| 128 |
+
Nothing in this License transfers, excludes, or limits any data-protection obligation that applicable law imposes on the Licensor or on You.
|
| 129 |
+
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| 130 |
+
## 5. Distribution, Sharing, and Hosted Services
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| 131 |
+
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| 132 |
+
### 5.1 Redistribution of the Model and Derivative Models
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| 133 |
+
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| 134 |
+
You may copy, redistribute, publish, host, or otherwise make available the Model or a Derivative Model, including fine-tuned, adapted, quantized, converted, merged, or otherwise modified versions, provided that:
|
| 135 |
+
|
| 136 |
+
a. You provide recipients with a copy of this License and clearly state that the Model or Derivative Model is subject to this License;
|
| 137 |
+
|
| 138 |
+
b. You preserve applicable copyright, attribution, and License notices relating to the original Model;
|
| 139 |
+
|
| 140 |
+
c. if You distribute a Derivative Model, You clearly identify that it has been modified from REVE and do not represent the Derivative Model as an official model produced, validated, or endorsed by the Licensor unless the Licensor has expressly authorized such representation;
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| 141 |
+
|
| 142 |
+
d. You provide, where reasonably practicable, sufficient information to identify the original REVE model or checkpoint from which the Derivative Model was created and describe any material modifications;
|
| 143 |
+
|
| 144 |
+
e. You do not impose terms on the Model or Derivative Model that purport to permit uses prohibited by Section 3 of this License; and
|
| 145 |
+
|
| 146 |
+
f. You remain responsible for modifications, additional training data, fine-tuning, deployment, redistribution, or other processing performed by You.
|
| 147 |
+
|
| 148 |
+
Each person or entity modifying, distributing, deploying, or otherwise using the Model or a Derivative Model is responsible for its own activities and for ensuring that those activities comply with applicable law and this License.
|
| 149 |
+
|
| 150 |
+
Redistribution or modification of the Model does not imply that the Licensor has reviewed, validated, approved, or accepted responsibility for a Derivative Model or for activities performed by downstream users.
|
| 151 |
+
|
| 152 |
+
### 5.2 Internal Use
|
| 153 |
+
|
| 154 |
+
You may provide access to the Model or a Derivative Model to Your employees, collaborators, and contractors for activities performed on Your behalf, provided that they are informed of the applicable restrictions under this License.
|
| 155 |
+
|
| 156 |
+
You remain responsible for activities performed by such persons on Your behalf to the extent provided by applicable law.
|
| 157 |
+
|
| 158 |
+
### 5.3 Hosted Inference
|
| 159 |
+
|
| 160 |
+
You may operate the Model or a Derivative Model as part of a hosted application, API, software service, or other remote service, provided that:
|
| 161 |
+
|
| 162 |
+
a. You do not knowingly permit the service to be used for the Prohibited Uses in Section 3;
|
| 163 |
+
|
| 164 |
+
b. Your terms, policies, or acceptable-use rules prohibit uses materially equivalent to those prohibited by Section 3; and
|
| 165 |
+
|
| 166 |
+
c. You implement reasonable safeguards appropriate to the nature and scale of the deployment.
|
| 167 |
+
|
| 168 |
+
Nothing in this Section prevents You from separately distributing the Model or a Derivative Model in accordance with Section 5.1.
|
| 169 |
+
|
| 170 |
+
### 5.4 Outputs
|
| 171 |
+
|
| 172 |
+
Outputs may be used, shared, or distributed provided that doing so does not:
|
| 173 |
+
|
| 174 |
+
a. disclose personal data obtained through conduct prohibited by this License; or
|
| 175 |
+
|
| 176 |
+
b. otherwise violate this License or applicable law.
|
| 177 |
+
|
| 178 |
+
## 6. Withdrawal of a Model Version
|
| 179 |
+
|
| 180 |
+
The Model was trained using datasets obtained from multiple sources. Rights, availability, or permitted uses associated with an underlying dataset may subsequently change.
|
| 181 |
+
|
| 182 |
+
Where the Licensor reasonably determines that continued use or distribution of a particular Model version should cease because of:
|
| 183 |
+
|
| 184 |
+
a. a restriction or withdrawal imposed by an underlying data provider or rights holder;
|
| 185 |
+
|
| 186 |
+
b. an applicable data-subject request or privacy obligation;
|
| 187 |
+
|
| 188 |
+
c. a binding legal or regulatory requirement; or
|
| 189 |
+
|
| 190 |
+
d. a substantiated rights, privacy, contractual, or data-governance issue concerning an underlying dataset,
|
| 191 |
+
|
| 192 |
+
the Licensor may designate that Model version as **Withdrawn**.
|
| 193 |
+
|
| 194 |
+
Notice of withdrawal may be published on the official Model repository or project website and will specify the effective date and, where practicable, the affected Model version or checkpoint.
|
| 195 |
+
|
| 196 |
+
Unless immediate cessation is reasonably required by law, regulation, a competent authority, or an applicable third-party right, the effective date should be no earlier than thirty (30) days after publication of the notice.
|
| 197 |
+
|
| 198 |
+
On the effective date, the rights granted by this License with respect to the Withdrawn Model version terminate. This termination also applies to a Derivative Model to the extent that it incorporates the Withdrawn Model or its parameters.
|
| 199 |
+
|
| 200 |
+
You must cease using, deploying, and redistributing the affected Model or Derivative Model and delete copies in Your possession or control, except for copies that You are legally required to retain.
|
| 201 |
+
|
| 202 |
+
Where practicable, the Licensor may provide a replacement Model version that does not contain the affected training data.
|
| 203 |
+
|
| 204 |
+
This Section does not permit arbitrary retroactive modification of the License and applies only in the circumstances identified above.
|
| 205 |
+
|
| 206 |
+
## 7. Termination
|
| 207 |
+
|
| 208 |
+
Your rights under this License terminate automatically if You materially violate its terms.
|
| 209 |
+
|
| 210 |
+
A violation of Section 3 or a failure to comply with a withdrawal under Section 6 is grounds for immediate termination.
|
| 211 |
+
|
| 212 |
+
For another violation, Your rights will automatically be reinstated if:
|
| 213 |
+
|
| 214 |
+
1. You cease the violation;
|
| 215 |
+
2. You remedy its consequences to the extent reasonably possible; and
|
| 216 |
+
3. You complete the cure within thirty (30) days after discovering or receiving notice of the violation.
|
| 217 |
+
|
| 218 |
+
Following termination, You must cease all use, deployment, and redistribution of the Model and Derivative Models and delete copies in Your possession or control, except to the extent retention is required by law.
|
| 219 |
+
|
| 220 |
+
The Licensor may expressly reinstate Your rights in writing.
|
| 221 |
+
|
| 222 |
+
## 8. Attribution and Notices
|
| 223 |
+
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You must retain copyright, attribution, and License notices included with copies of the Model in Your possession or distributed by You.
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If You publish scientific work materially relying on the Model, You are requested to cite the associated REVE publication and identify the Model version used.
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REVE was developed by the BRAIN (BRoader Artificial Intelligence) research team, Lab-STICC (CNRS UMR 6285), at IMT Atlantique.
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You may not use the names, logos, or trademarks of IMT Atlantique, BRAIN, Lab-STICC, CNRS, or individual contributors to imply endorsement, certification, or sponsorship without permission.
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## 9. Medical and Professional Use
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The Model is provided as a research machine-learning artifact.
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The Licensor does not place the Model on the market as a medical device and does not intend the Model, by itself, for diagnosis, treatment, clinical decision-making, or any other regulated medical purpose.
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If You incorporate the Model into a medical device, clinical system, or other regulated product or service, You are responsible for determining the intended purpose of that downstream product and for satisfying any validation, certification, conformity assessment, approval, authorization, human oversight, or other requirement applicable to Your downstream product or use.
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The Model must not be treated as a substitute for professional medical judgment.
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## 10. Disclaimer of Warranty
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TO THE MAXIMUM EXTENT PERMITTED BY APPLICABLE LAW, THE MODEL IS PROVIDED “AS IS” AND “AS AVAILABLE”, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, NON-INFRINGEMENT, ACCURACY, RELIABILITY, OR SAFETY.
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THE LICENSOR DOES NOT WARRANT THAT THE MODEL WILL BE ERROR-FREE, SECURE, SUITABLE FOR ANY PARTICULAR APPLICATION, OR FREE FROM BIAS OR OTHER LIMITATIONS.
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## 11. Limitation of Liability
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TO THE MAXIMUM EXTENT PERMITTED BY APPLICABLE LAW, THE LICENSOR AND CONTRIBUTORS WILL NOT BE LIABLE FOR ANY INDIRECT, INCIDENTAL, SPECIAL, CONSEQUENTIAL, EXEMPLARY, OR PUNITIVE DAMAGES, OR FOR LOSS OF DATA, PROFITS, REVENUE, GOODWILL, OR BUSINESS OPPORTUNITY, ARISING FROM OR RELATED TO THE MODEL OR THIS LICENSE.
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Nothing in this License excludes or limits liability that cannot lawfully be excluded or limited.
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## 12. Third-Party Materials
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This License applies only to the Model and other materials expressly identified as being distributed under it.
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It does not grant rights in:
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- the datasets used to train or evaluate the Model;
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- third-party software;
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- third-party intellectual property; or
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- other materials distributed under separate licenses.
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You are responsible for complying with any applicable terms governing such materials.
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## 13. Severability and No Waiver
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If any provision of this License is held invalid or unenforceable, that provision will be enforced to the maximum extent permitted by law and the remaining provisions will remain in effect.
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Failure by the Licensor to enforce any provision does not waive the right to enforce it later.
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## 14. License Versions
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The Licensor may publish revised versions of this License.
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A revised License does not retroactively replace the version applicable to a Model copy already obtained, except as expressly provided by Section 6 or as otherwise agreed by You.
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New Model versions may be distributed under a revised License.
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## 15. Governing Law
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This License is governed by the laws of France, without prejudice to any mandatory provisions of law that apply irrespective of this choice.
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Any dispute arising out of or relating to this License shall be subject to the jurisdiction of the competent courts in France, except where applicable law requires otherwise.
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---
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Copyright © 2026 Institut Mines-Télécom Atlantique Bretagne-Pays de la Loire (IMT Atlantique).
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REVE was developed by BRAIN (BRoader Artificial Intelligence), Lab-STICC (CNRS UMR 6285), IMT Atlantique.
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For controlled privacy or security evaluations, permissions outside this License, or other inquiries concerning the License, contact: giulia.lioi@imt-atlantique.fr
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