Instructions to use Tejas21/bio-linkbert-large_pubmedqa-MAP_combined with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tejas21/bio-linkbert-large_pubmedqa-MAP_combined with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Tejas21/bio-linkbert-large_pubmedqa-MAP_combined")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Tejas21/bio-linkbert-large_pubmedqa-MAP_combined") model = AutoModelForSequenceClassification.from_pretrained("Tejas21/bio-linkbert-large_pubmedqa-MAP_combined", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a2eec7f07524068ddb078ce6cb776ce5f1722f7c33f45772366a87173bdf9988
- Size of remote file:
- 1.33 GB
- SHA256:
- f16358e3f2b3cdda0decc19938bd79aa88e05842858f6b82f20c81fef824a2d0
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