Instructions to use Granoladata/biobert_modality with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Granoladata/biobert_modality with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Granoladata/biobert_modality")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Granoladata/biobert_modality") model = AutoModelForSequenceClassification.from_pretrained("Granoladata/biobert_modality", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Granoladata/biobert_modality: direct link, hf CLI and curl.
- Browser
- Download file 669 kB
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https://huggingface.co/Granoladata/biobert_modality/resolve/d2fbcfa39ab170ca0aade8a3df52b7e831ca4d3f/tokenizer.json
- Command line
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hf download hf://Granoladata/biobert_modality@d2fbcfa39ab170ca0aade8a3df52b7e831ca4d3f/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Granoladata/biobert_modality/resolve/d2fbcfa39ab170ca0aade8a3df52b7e831ca4d3f/tokenizer.json
669 kB
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