Instructions to use Thibeb/CamemBert_bio_generalized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Thibeb/CamemBert_bio_generalized with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Thibeb/CamemBert_bio_generalized")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Thibeb/CamemBert_bio_generalized") model = AutoModelForTokenClassification.from_pretrained("Thibeb/CamemBert_bio_generalized", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from Thibeb/CamemBert_bio_generalized: direct link, hf CLI and curl.
- Browser
- Download file 881 MB
-
https://huggingface.co/Thibeb/CamemBert_bio_generalized/resolve/main/optimizer.pt
- Command line
-
hf download hf://Thibeb/CamemBert_bio_generalized/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Thibeb/CamemBert_bio_generalized/resolve/main/optimizer.pt
881 MB
- Xet hash:
- 5022da46723d708756742a4a4d42d3a5c33520ed9c0412abfa2f42730a926193
- Size of remote file:
- 881 MB
- SHA256:
- fc0c1b2c71a9511e7b7521a5828ea17803dcbb4cc538690c598b1edccf60575d
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