Text Classification
Transformers
PyTorch
English
roberta
Trained with AutoTrain
text-embeddings-inference
Instructions to use aujer/not_interested_v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aujer/not_interested_v0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aujer/not_interested_v0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aujer/not_interested_v0") model = AutoModelForSequenceClassification.from_pretrained("aujer/not_interested_v0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b88e4fd1ee176555d7a48e69fabd3c9876c3cd6278a06543e138c93a13c4cfd
- Size of remote file:
- 1.42 GB
- SHA256:
- cceff75c4c197af717ea69ce24f68c4f4c0f0374a43300aa1ab5c867498123a8
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