Instructions to use suku9/pretrained_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use suku9/pretrained_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, GPT2ForSMILES tokenizer = AutoTokenizer.from_pretrained("suku9/pretrained_model") model = GPT2ForSMILES.from_pretrained("suku9/pretrained_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from suku9/pretrained_model: direct link, hf CLI and curl.
- Browser
- Download file 397 Bytes
-
https://huggingface.co/suku9/pretrained_model/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://suku9/pretrained_model/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/suku9/pretrained_model/resolve/main/tokenizer_config.json
397 Bytes
| { | |
| "pad_token": "<pad>", | |
| "eos_token": "</s>", | |
| "bos_token": "<go>", | |
| "unk_token": "<unk>", | |
| "vocab": [ | |
| "<pad>", | |
| "</s>", | |
| "<unk>", | |
| "<go>", | |
| "S", | |
| "O", | |
| "2", | |
| "n", | |
| "l", | |
| "F", | |
| "H", | |
| "C", | |
| "o", | |
| "5", | |
| "r", | |
| "s", | |
| "=", | |
| "6", | |
| "[", | |
| "N", | |
| "4", | |
| "c", | |
| "-", | |
| "3", | |
| ")", | |
| "#", | |
| "]", | |
| "B", | |
| "(", | |
| "1" | |
| ] | |
| } |