Instructions to use kelvinih/pubmedbert-abs-base-lm-header with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kelvinih/pubmedbert-abs-base-lm-header with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kelvinih/pubmedbert-abs-base-lm-header", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce283eb93121ca4f40f942097b711fbf868b30730804d565c518c4d8aea3a0b4
- Size of remote file:
- 441 MB
- SHA256:
- efae0e5619b43fbafc34a8e5874c19466dd7faee095890124563c2660c91aefd
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