Instructions to use EMBO/bio-lm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EMBO/bio-lm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="EMBO/bio-lm")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("EMBO/bio-lm") model = AutoModelForMaskedLM.from_pretrained("EMBO/bio-lm") - Notebooks
- Google Colab
- Kaggle
Commit History
uodate loading script ad1b251
Thomas Lemberger commited on
upload flax model f737059
allow flax fc62585
card 0ae1b3c
Thomas Lemberger commited on
card b7637ec
Thomas Lemberger commited on
card 5a9225d
Thomas Lemberger commited on
initial card d66184b
Thomas Lemberger commited on
adding files 7af11f5
Thomas Lemberger commited on
lfs tracking 51df576
Thomas Lemberger commited on