Instructions to use Dr-BERT/CAS-Biomedical-POS-Tagging with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dr-BERT/CAS-Biomedical-POS-Tagging with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Dr-BERT/CAS-Biomedical-POS-Tagging")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Dr-BERT/CAS-Biomedical-POS-Tagging") model = AutoModelForTokenClassification.from_pretrained("Dr-BERT/CAS-Biomedical-POS-Tagging", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Dr-BERT/CAS-Biomedical-POS-Tagging: direct link, hf CLI and curl.
- Browser
- Download file 2.36 MB
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https://huggingface.co/Dr-BERT/CAS-Biomedical-POS-Tagging/resolve/main/tokenizer.json
- Command line
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hf download hf://Dr-BERT/CAS-Biomedical-POS-Tagging/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Dr-BERT/CAS-Biomedical-POS-Tagging/resolve/main/tokenizer.json
2.36 MB
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