Instructions to use garNER/camembert-base-fr-LM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use garNER/camembert-base-fr-LM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="garNER/camembert-base-fr-LM")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("garNER/camembert-base-fr-LM") model = AutoModelForTokenClassification.from_pretrained("garNER/camembert-base-fr-LM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0fca889c4b1e032f7143ad6d6d50480385d4678c0de3ac73c722e4babe2b9e89
- Size of remote file:
- 3.45 kB
- SHA256:
- 91fe3f5e2a58e60cab38f70a33f56b3cd725643b9bacd2d9aa0095970f0c1cee
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