Text Classification
setfit
Safetensors
sentence-transformers
qwen3
generated_from_setfit_trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use fefofico/crisis_trained_f2llm_selection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use fefofico/crisis_trained_f2llm_selection with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("fefofico/crisis_trained_f2llm_selection") - sentence-transformers
How to use fefofico/crisis_trained_f2llm_selection with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("fefofico/crisis_trained_f2llm_selection") 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:
- ddf8ec38475a326d29615bf81e966a560adb9e06351ad9abd310fc4b9a362bab
- Size of remote file:
- 2.14 kB
- SHA256:
- ed6e269eac125a6fe20f33938d4a4c071b29b588770c080064c9dbb48b7b58f2
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