Instructions to use lentohaihane/r-4b-sft-code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lentohaihane/r-4b-sft-code with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lentohaihane/r-4b-sft-code", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 240 Bytes
887090c | 1 2 3 4 5 6 7 8 9 10 11 | {
"auto_map": {
"AutoProcessor": "processing_r.RProcessor"
},
"image_token": "<image>",
"num_image_tokens": 729,
"processor_class": "RProcessor",
"vision_aspect_ratio": "anyres",
"vision_feature_select_strategy": "full"
}
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