Instructions to use Likang/OSS-Governance-Update with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Likang/OSS-Governance-Update with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Likang/OSS-Governance-Update") 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-Update with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("Likang/OSS-Governance-Update") 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-Update: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/Likang/OSS-Governance-Update/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Likang/OSS-Governance-Update/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Likang/OSS-Governance-Update/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 32206c77cfb3b66d1f97808614880d32940ff9e9f1bd285c411ce60ac1571487
- Size of remote file:
- 438 MB
- SHA256:
- 9bdaa0f6b43a702ed2c745693fc292f6bd45e249c1ba1068dbf197dc091f2325
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