Instructions to use clairedhx/camenBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use clairedhx/camenBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="clairedhx/camenBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("clairedhx/camenBERT") model = AutoModelForTokenClassification.from_pretrained("clairedhx/camenBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files- config.json +1 -1
- model.safetensors +1 -1
- training_args.bin +1 -1
config.json
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"CamembertForTokenClassification"
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"_name_or_path": "almanach/camembert-base",
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model.safetensors
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training_args.bin
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