Instructions to use InstaDeepAI/IDP-ESM2-8M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InstaDeepAI/IDP-ESM2-8M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="InstaDeepAI/IDP-ESM2-8M")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("InstaDeepAI/IDP-ESM2-8M") model = AutoModelForMaskedLM.from_pretrained("InstaDeepAI/IDP-ESM2-8M") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
e3b7ccf | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:03234e27ad0c9a7f3f423d0ad391ae2f73c3900da0643c91a64b7f1d42729762
size 30062544
|