Text Classification
setfit
Safetensors
sentence-transformers
mpnet
generated_from_setfit_trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use d31fs0/context-aware-language-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use d31fs0/context-aware-language-classifier with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("d31fs0/context-aware-language-classifier") - sentence-transformers
How to use d31fs0/context-aware-language-classifier with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("d31fs0/context-aware-language-classifier") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce9e63d0d035bf5807a32569fddb28aef79d491a33a820de69667274165d916b
- Size of remote file:
- 438 MB
- SHA256:
- 7a54dbb49d9b3cfd8b912128058531b9b35e627d8d1e34449a769266307ef8fc
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