Instructions to use SetFit/test-setfit-sst2-string-labels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use SetFit/test-setfit-sst2-string-labels with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("SetFit/test-setfit-sst2-string-labels") 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 SetFit/test-setfit-sst2-string-labels with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("SetFit/test-setfit-sst2-string-labels") 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 SetFit/test-setfit-sst2-string-labels: direct link, hf CLI and curl.
- Browser
- Download file 90.9 MB
-
https://huggingface.co/SetFit/test-setfit-sst2-string-labels/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://SetFit/test-setfit-sst2-string-labels/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/SetFit/test-setfit-sst2-string-labels/resolve/main/pytorch_model.bin
90.9 MB
- Xet hash:
- 20cee255b5c00ba3ed0182f9d91c98a1005a31dfd5bfa5cab395ad9a6df0e0d4
- Size of remote file:
- 90.9 MB
- SHA256:
- a4fd5bbb54556a0f266c0e5465eec922d558efa2528af5346a92f49fb5923d47
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