Instructions to use Likang/OSS-Governance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Likang/OSS-Governance with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Likang/OSS-Governance") 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 Likang/OSS-Governance with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("Likang/OSS-Governance") 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 Likang/OSS-Governance: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/Likang/OSS-Governance/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Likang/OSS-Governance/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Likang/OSS-Governance/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- c949114ba0f5dc902f613ec4f56abac840fdf5496f36e40b431f2dc2e68d850d
- Size of remote file:
- 438 MB
- SHA256:
- 457c69f44448a48fe989a1948e173b12efb544a7eae892f5bd2e118132399b8a
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