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:
- 4022430985fd4e8e238ba18c1e364e2225c96c6faf69cdd8c1cc0e201491aaeb
- Size of remote file:
- 5.11 kB
- SHA256:
- 7e08b96d08f9127eb0cd43164992281ee9787f7fb4b91eaf70283d068838be61
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