Instructions to use IslemTouati/french_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use IslemTouati/french_model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("IslemTouati/french_model") 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 IslemTouati/french_model with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("IslemTouati/french_model") preds = model.predict(["i loved the spiderman movie!", "pineapple on pizza is the worst"]) print(preds) - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from IslemTouati/french_model: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/IslemTouati/french_model/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://IslemTouati/french_model@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/IslemTouati/french_model/resolve/refs%2Fpr%2F1/tokenizer.json
2.42 MB
- Xet hash:
- 68c52a0003cd59703a8fea47177aa85be1cea9c40a0b5855903a4d6f991716df
- Size of remote file:
- 2.42 MB
- SHA256:
- e3efb1d515477b850fa1c8c2c4bfd54ce9367cfbaa7e6a8622418ada191b0c11
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