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") - Notebooks
- Google Colab
- Kaggle
Download model_head.pkl from IslemTouati/french_model: direct link, hf CLI and curl.
- Browser
- Download file 25.5 kB
-
https://huggingface.co/IslemTouati/french_model/resolve/main/model_head.pkl
- Command line
-
hf download hf://IslemTouati/french_model/model_head.pkl
-
curl -L -o model_head.pkl https://huggingface.co/IslemTouati/french_model/resolve/main/model_head.pkl
25.5 kB
- Xet hash:
- bc85d1decb1b39391208f982b23c2d34da509d54ca2b03b5b783a832123efa98
- Size of remote file:
- 25.5 kB
- SHA256:
- 2e0002770c244018e4ba6129ab2fadca74eca5a6ad5607758e348172e0e7f8b4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.