Instructions to use eltorio/IDEFICS3_ROCO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eltorio/IDEFICS3_ROCO with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceM4/Idefics3-8B-Llama3") model = PeftModel.from_pretrained(base_model, "eltorio/IDEFICS3_ROCO") - Notebooks
- Google Colab
- Kaggle
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README.md
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base_model:
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# IDEFICS3_ROCO
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### Acknowledgments
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This work was made possible by the [Hugging Face Transformers](https://huggingface.co/) library and the [ROCO-radiology dataset](https://huggingface.co/datasets/eltorio/ROCO-radiology).
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base_model:
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# IDEFICS3_ROCO
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### Acknowledgments
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This work was made possible by the [Hugging Face Transformers](https://huggingface.co/) library and the [ROCO-radiology dataset](https://huggingface.co/datasets/eltorio/ROCO-radiology).
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