Instructions to use adityakorade/lora_code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adityakorade/lora_code with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("adityakorade/lora_code", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download generation_config.json from adityakorade/lora_code: direct link, hf CLI and curl.
- Browser
- Download file 172 Bytes
-
https://huggingface.co/adityakorade/lora_code/resolve/main/generation_config.json
- Command line
-
hf download hf://adityakorade/lora_code/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/adityakorade/lora_code/resolve/main/generation_config.json
172 Bytes
| { | |
| "bos_token_id": 128000, | |
| "do_sample": true, | |
| "eos_token_id": 128001, | |
| "max_length": 4096, | |
| "temperature": 0.6, | |
| "top_p": 0.9, | |
| "transformers_version": "4.41.2" | |
| } | |