Instructions to use JacopoBandoni/BioBertRelationGenesDiseases with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JacopoBandoni/BioBertRelationGenesDiseases with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JacopoBandoni/BioBertRelationGenesDiseases")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JacopoBandoni/BioBertRelationGenesDiseases") model = AutoModelForSequenceClassification.from_pretrained("JacopoBandoni/BioBertRelationGenesDiseases") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a4ccf38d756e44b5213447a2ff5bcbafd751698672f3b8866ff3a6de3be2ecc
- Size of remote file:
- 433 MB
- SHA256:
- 2730b53f49175ce0f6758ba0b993e2e5eafacc961e20f7f04afb64a365f4b28f
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