Instructions to use pucpr/biobertpt-all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pucpr/biobertpt-all with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="pucpr/biobertpt-all")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("pucpr/biobertpt-all") model = AutoModelForMaskedLM.from_pretrained("pucpr/biobertpt-all", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f2bbccea944822b7f931fc4024d6b7da3b93c1fbaaa34409489d12c809a59148
- Size of remote file:
- 712 MB
- SHA256:
- 049ae81a141d362f6fcf829395db9c7b1f44ffebd5c30e8636376e1a57f59489
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