Instructions to use mlml-chip/negation_pubmedbert_sharpseed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mlml-chip/negation_pubmedbert_sharpseed with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import CnlpModelForClassification model = CnlpModelForClassification.from_pretrained("mlml-chip/negation_pubmedbert_sharpseed", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from mlml-chip/negation_pubmedbert_sharpseed: direct link, hf CLI and curl.
- Browser
- Download file 680 kB
-
https://huggingface.co/mlml-chip/negation_pubmedbert_sharpseed/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
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hf download hf://mlml-chip/negation_pubmedbert_sharpseed@refs/pr/1/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/mlml-chip/negation_pubmedbert_sharpseed/resolve/refs%2Fpr%2F1/tokenizer.json
680 kB
File too large to display, you can check the raw version instead.