Instructions to use ilhkn/sentence_classifier2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ilhkn/sentence_classifier2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ilhkn/sentence_classifier2") 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] - setfit
How to use ilhkn/sentence_classifier2 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("ilhkn/sentence_classifier2") preds = model.predict(["i loved the spiderman movie!", "pineapple on pizza is the worst"]) print(preds) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ilhkn/sentence_classifier2: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/ilhkn/sentence_classifier2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ilhkn/sentence_classifier2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ilhkn/sentence_classifier2/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- cfb1e2e943a25e024c0e42f9675c32da31524b6c6d88565bd0f5ed4c727649d2
- Size of remote file:
- 438 MB
- SHA256:
- 7c3c94d5a90adbc73e5baa17a9ea97c6d3a30fefbd34a16f90cf8ccf72d9010a
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