Instructions to use pucpr/biobertpt-clin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pucpr/biobertpt-clin with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="pucpr/biobertpt-clin")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("pucpr/biobertpt-clin") model = AutoModelForMaskedLM.from_pretrained("pucpr/biobertpt-clin") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b0ca3b7b7b2a75150310e713af5509f9513d59155f3cd7cd3c242bda49adf2b
- Size of remote file:
- 712 MB
- SHA256:
- ee8634f063aa4ca420355510c04d3d19f5ba0e1bc79d88f17476a4678cdfce81
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.