Instructions to use Nhawtanhy1111/M5_DPO_CodeGen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Nhawtanhy1111/M5_DPO_CodeGen with PEFT:
Task type is invalid.
- Transformers
How to use Nhawtanhy1111/M5_DPO_CodeGen with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Nhawtanhy1111/M5_DPO_CodeGen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from Nhawtanhy1111/M5_DPO_CodeGen: direct link, hf CLI and curl.
- Browser
- Download file 340 Bytes
-
https://huggingface.co/Nhawtanhy1111/M5_DPO_CodeGen/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://Nhawtanhy1111/M5_DPO_CodeGen/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/Nhawtanhy1111/M5_DPO_CodeGen/resolve/main/tokenizer_config.json
340 Bytes
| { | |
| "add_prefix_space": false, | |
| "backend": "tokenizers", | |
| "bos_token": "<|endoftext|>", | |
| "eos_token": "<|endoftext|>", | |
| "is_local": false, | |
| "local_files_only": false, | |
| "model_max_length": 2048, | |
| "pad_token": "<|endoftext|>", | |
| "return_token_type_ids": false, | |
| "tokenizer_class": "CodeGenTokenizer", | |
| "unk_token": "<|endoftext|>" | |
| } | |