Instructions to use derguene/carpooling-camembert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use derguene/carpooling-camembert-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("derguene/carpooling-camembert-base") 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 derguene/carpooling-camembert-base with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("derguene/carpooling-camembert-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a300c038312cc4b9ab944dced71e927db61f654eb68d6e145677f26bc8c9246
- Size of remote file:
- 443 MB
- SHA256:
- 9f53f8c8ecac4a913dada7217b89205855d7f4db7ce8e491cab3d8fd3b863b77
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