Instructions to use pucpr/biobertpt-bio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pucpr/biobertpt-bio with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="pucpr/biobertpt-bio")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("pucpr/biobertpt-bio") model = AutoModelForMaskedLM.from_pretrained("pucpr/biobertpt-bio", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from pucpr/biobertpt-bio: direct link, hf CLI and curl.
- Browser
- Download file 712 MB
-
https://huggingface.co/pucpr/biobertpt-bio/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://pucpr/biobertpt-bio/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/pucpr/biobertpt-bio/resolve/main/flax_model.msgpack
712 MB
- Xet hash:
- c4fcda519e8ce2464b2256c7fd3525e70b2e31dae4cb9f68d8d2900ab86bcadd
- Size of remote file:
- 712 MB
- SHA256:
- 03a91657a9b17d1b0e06b988b429bed307ae214b7239b1c8289845d98d262215
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