Text Classification
setfit
Safetensors
sentence-transformers
xlm-roberta
generated_from_setfit_trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use vgarg/usecase_classifier_large_17_04_24 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use vgarg/usecase_classifier_large_17_04_24 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("vgarg/usecase_classifier_large_17_04_24") preds = model.predict(["i loved the spiderman movie!", "pineapple on pizza is the worst"]) print(preds) - sentence-transformers
How to use vgarg/usecase_classifier_large_17_04_24 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("vgarg/usecase_classifier_large_17_04_24") 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
Download model_head.pkl from vgarg/usecase_classifier_large_17_04_24: direct link, hf CLI and curl.
- Browser
- Download file 9.06 kB
-
https://huggingface.co/vgarg/usecase_classifier_large_17_04_24/resolve/main/model_head.pkl
- Command line
-
hf download hf://vgarg/usecase_classifier_large_17_04_24/model_head.pkl
-
curl -L -o model_head.pkl https://huggingface.co/vgarg/usecase_classifier_large_17_04_24/resolve/main/model_head.pkl
9.06 kB
- Xet hash:
- 657ea4babfb3e594f84843b6dc1c237bb8eaea8bc1fa8c99edec8018364e18e2
- Size of remote file:
- 9.06 kB
- SHA256:
- 39b5adf17c548cf3f9ea8a9bdea38e771f53e069224a2affba2cdc7c02dbc783
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