Instructions to use UWECProgrammer/setfit-model-one with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use UWECProgrammer/setfit-model-one with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("UWECProgrammer/setfit-model-one") 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 UWECProgrammer/setfit-model-one with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("UWECProgrammer/setfit-model-one") 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 UWECProgrammer/setfit-model-one: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/UWECProgrammer/setfit-model-one/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://UWECProgrammer/setfit-model-one/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/UWECProgrammer/setfit-model-one/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 4f2ea4d7b5f14fcd8bdb20599d90fad3d66dcaca5b13b0e80eebaed60909500e
- Size of remote file:
- 438 MB
- SHA256:
- e401ee251c21a7b6a0901acfbdd5c47aa29770d9a0540f7470291ab0964f9dce
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