Text Classification
setfit
Safetensors
sentence-transformers
qwen3
generated_from_setfit_trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use fefofico/crisis_trained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use fefofico/crisis_trained with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("fefofico/crisis_trained") - sentence-transformers
How to use fefofico/crisis_trained with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("fefofico/crisis_trained") 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:
- 629c94ecde34dcfe0b5dbcc4bc226c82157876a66b5e71d45bfd3ae97e1046b0
- Size of remote file:
- 11.4 MB
- SHA256:
- 5f45684bb3bd50e1eb753e6bc438efc14329c293af236ecd331667b46657a3cc
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