Instructions to use wesleywt/prot_roberta_mlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wesleywt/prot_roberta_mlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="wesleywt/prot_roberta_mlm")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("wesleywt/prot_roberta_mlm") model = AutoModelForMaskedLM.from_pretrained("wesleywt/prot_roberta_mlm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
0d57a75 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:b644c9af93267717ff180d94c3c7c4af7b6e34f0d8166717d734c855fb46edf8
size 403296427
|