Text Classification
Transformers
ONNX
Safetensors
English
modernbert
agent-security
intent-integrity
tool-use
sequence-pair-classification
sheltron
preview
text-embeddings-inference
Instructions to use sheltron-ai/intent-integrity-400m-preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sheltron-ai/intent-integrity-400m-preview with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sheltron-ai/intent-integrity-400m-preview")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sheltron-ai/intent-integrity-400m-preview") model = AutoModelForSequenceClassification.from_pretrained("sheltron-ai/intent-integrity-400m-preview", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from sheltron-ai/intent-integrity-400m-preview: direct link, hf CLI and curl.
- Browser
- Download file 1.9 kB
-
https://huggingface.co/sheltron-ai/intent-integrity-400m-preview/resolve/main/config.json
- Command line
-
hf download hf://sheltron-ai/intent-integrity-400m-preview/config.json
-
curl -L -o config.json https://huggingface.co/sheltron-ai/intent-integrity-400m-preview/resolve/main/config.json
1.9 kB
| {"architectures":["ModernBertForSequenceClassification"],"attention_bias":false,"attention_dropout":0.0,"bos_token_id":50281,"causal_mask":false,"classifier_activation":"gelu","classifier_bias":false,"classifier_dropout":0.0,"classifier_pooling":"cls","cls_token_id":50281,"decoder_bias":true,"deterministic_flash_attn":false,"dtype":"float32","embedding_dropout":0.0,"eos_token_id":50282,"global_attn_every_n_layers":3,"gradient_checkpointing":false,"hidden_activation":"gelu","hidden_size":1024,"id2label":{"0":"INTENT_INTEGRITY"},"initializer_cutoff_factor":2.0,"initializer_range":0.02,"intermediate_size":2624,"is_causal":false,"label2id":{"INTENT_INTEGRITY":0},"layer_norm_eps":1e-05,"layer_types":["full_attention","sliding_attention","sliding_attention","full_attention","sliding_attention","sliding_attention","full_attention","sliding_attention","sliding_attention","full_attention","sliding_attention","sliding_attention","full_attention","sliding_attention","sliding_attention","full_attention","sliding_attention","sliding_attention","full_attention","sliding_attention","sliding_attention","full_attention","sliding_attention","sliding_attention","full_attention","sliding_attention","sliding_attention","full_attention"],"local_attention":128,"max_position_embeddings":7999,"mlp_bias":false,"mlp_dropout":0.0,"model_type":"modernbert","norm_bias":false,"norm_eps":1e-05,"num_attention_heads":16,"num_hidden_layers":28,"pad_token_id":50283,"position_embedding_type":"sans_pos","problem_type":"multi_label_classification","rope_parameters":{"full_attention":{"rope_theta":160000.0,"rope_type":"default"},"sliding_attention":{"rope_theta":160000.0,"rope_type":"default"}},"sep_token_id":50282,"sheltron_score_semantics":"sigmoid(logit)_is_p_integrity","sparse_pred_ignore_index":-100,"sparse_prediction":false,"tie_word_embeddings":true,"transformers_version":"5.14.1","vocab_size":50368} | |