Instructions to use suku9/pretrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use suku9/pretrain with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, GPT2ForSMILES tokenizer = AutoTokenizer.from_pretrained("suku9/pretrain") model = GPT2ForSMILES.from_pretrained("suku9/pretrain", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from suku9/pretrain: direct link, hf CLI and curl.
- Browser
- Download file 132 Bytes
-
https://huggingface.co/suku9/pretrain/resolve/main/generation_config.json
- Command line
-
hf download hf://suku9/pretrain/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/suku9/pretrain/resolve/main/generation_config.json
132 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 3, | |
| "eos_token_id": 1, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.51.1" | |
| } | |