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")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Granoladata/biobert_modality") model = AutoModelForSequenceClassification.from_pretrained("Granoladata/biobert_modality") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d38d019d64d31787f8190d1659ff8b69e31aa76ca18ae3727dea187da2b8687
- Size of remote file:
- 433 MB
- SHA256:
- cce1090c9c0426bccf86db720361d7711123bd3994c55cf0a7437f33aaec80e6
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