Instructions to use yasserrmd/med-reason-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yasserrmd/med-reason-lora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("yasserrmd/med-reason-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download processor_config.json from yasserrmd/med-reason-lora: direct link, hf CLI and curl.
- Browser
- Download file 189 Bytes
-
https://huggingface.co/yasserrmd/med-reason-lora/resolve/main/processor_config.json
- Command line
-
hf download hf://yasserrmd/med-reason-lora/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/yasserrmd/med-reason-lora/resolve/main/processor_config.json
189 Bytes
| { | |
| "image_break_token": "[IMG_BREAK]", | |
| "image_end_token": "[IMG_END]", | |
| "image_token": "[IMG]", | |
| "patch_size": 14, | |
| "processor_class": "PixtralProcessor", | |
| "spatial_merge_size": 2 | |
| } | |