Instructions to use IEETA/BioNExt-Tagger with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IEETA/BioNExt-Tagger with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="IEETA/BioNExt-Tagger", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("IEETA/BioNExt-Tagger", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from IEETA/BioNExt-Tagger: direct link, hf CLI and curl.
- Browser
- Download file 679 kB
-
https://huggingface.co/IEETA/BioNExt-Tagger/resolve/b5d06a10f4e7c8d1bdfdcae59467d2cd1e6f658a/tokenizer.json
- Command line
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hf download hf://IEETA/BioNExt-Tagger@b5d06a10f4e7c8d1bdfdcae59467d2cd1e6f658a/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/IEETA/BioNExt-Tagger/resolve/b5d06a10f4e7c8d1bdfdcae59467d2cd1e6f658a/tokenizer.json
679 kB
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