Instructions to use GleghornLab/esm3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GleghornLab/esm3 with Transformers:
# Load model directly from transformers import ESM3Custom model = ESM3Custom.from_pretrained("GleghornLab/esm3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from GleghornLab/esm3: direct link, hf CLI and curl.
- Browser
- Download file 172 Bytes
-
https://huggingface.co/GleghornLab/esm3/resolve/main/config.json
- Command line
-
hf download hf://GleghornLab/esm3/config.json
-
curl -L -o config.json https://huggingface.co/GleghornLab/esm3/resolve/main/config.json
172 Bytes
| { | |
| "architectures": [ | |
| "ESM3Custom" | |
| ], | |
| "model_type": "esm3", | |
| "path": "esm3_sm_open_v1", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.41.2" | |
| } | |