Token Classification
Transformers
Safetensors
MultiLabelBert
multilabel
multilabel-token-classification
custom_code
Instructions to use jvaquet/multilabel-classification-bert-conll03 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jvaquet/multilabel-classification-bert-conll03 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="jvaquet/multilabel-classification-bert-conll03", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForTokenClassification model = AutoModelForTokenClassification.from_pretrained("jvaquet/multilabel-classification-bert-conll03", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from jvaquet/multilabel-classification-bert-conll03: direct link, hf CLI and curl.
- Browser
- Download file 669 kB
-
https://huggingface.co/jvaquet/multilabel-classification-bert-conll03/resolve/main/tokenizer.json
- Command line
-
hf download hf://jvaquet/multilabel-classification-bert-conll03/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/jvaquet/multilabel-classification-bert-conll03/resolve/main/tokenizer.json
669 kB
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