Instructions to use garNER/camembert-base-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use garNER/camembert-base-fr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="garNER/camembert-base-fr")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("garNER/camembert-base-fr") model = AutoModelForTokenClassification.from_pretrained("garNER/camembert-base-fr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 488c943b82ffbe783e8f45b18c9c0ecad35582363ac4336e1a4e9ffcfed68f23
- Size of remote file:
- 3.45 kB
- SHA256:
- 1cd5db72abbe2b4653ec5f4c5f3fc7b24f6933a6e6da8ad40ae8e6b585adb419
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