Instructions to use ghadeermobasher/BioNLP13CG-Chem-Modified-Bioformers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghadeermobasher/BioNLP13CG-Chem-Modified-Bioformers with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ghadeermobasher/BioNLP13CG-Chem-Modified-Bioformers")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ghadeermobasher/BioNLP13CG-Chem-Modified-Bioformers") model = AutoModelForTokenClassification.from_pretrained("ghadeermobasher/BioNLP13CG-Chem-Modified-Bioformers", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ghadeermobasher/BioNLP13CG-Chem-Modified-Bioformers: direct link, hf CLI and curl.
- Browser
- Download file 500 kB
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https://huggingface.co/ghadeermobasher/BioNLP13CG-Chem-Modified-Bioformers/resolve/main/tokenizer.json
- Command line
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hf download hf://ghadeermobasher/BioNLP13CG-Chem-Modified-Bioformers/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/ghadeermobasher/BioNLP13CG-Chem-Modified-Bioformers/resolve/main/tokenizer.json
500 kB
File too large to display, you can check the raw version instead.