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:
# pip install -U transformers accelerate # Load model directly from transformers import ESM3Custom model = ESM3Custom.from_pretrained("GleghornLab/esm3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from GleghornLab/esm3: direct link, hf CLI and curl.
- Browser
- Download file 181 Bytes
-
https://huggingface.co/GleghornLab/esm3/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://GleghornLab/esm3/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/GleghornLab/esm3/resolve/main/special_tokens_map.json
181 Bytes
| { | |
| "additional_special_tokens": [ | |
| "|" | |
| ], | |
| "cls_token": "<cls>", | |
| "eos_token": "<eos>", | |
| "mask_token": "<mask>", | |
| "pad_token": "<pad>", | |
| "unk_token": "<unk>" | |
| } | |