Instructions to use ilhkn/OUTSOURCING with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ilhkn/OUTSOURCING with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ilhkn/OUTSOURCING") 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/OUTSOURCING with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("ilhkn/OUTSOURCING") 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/OUTSOURCING: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/ilhkn/OUTSOURCING/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ilhkn/OUTSOURCING/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ilhkn/OUTSOURCING/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 12ef0761d3782f6c7803b12aff74f9e9fcbf12be2c3a10455c3a5cea86126079
- Size of remote file:
- 438 MB
- SHA256:
- 26c4f5cbd6defb8a1f109373d0c96dd57f6e75d535f8c181648f538ffe89a05c
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