Instructions to use eltorio/IDEFICS3_medical_instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eltorio/IDEFICS3_medical_instruct with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-11B-Vision-Instruct") model = PeftModel.from_pretrained(base_model, "eltorio/IDEFICS3_medical_instruct") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 20
Browse files- adapter_config.json +4 -4
- adapter_model.safetensors +1 -1
- training_args.bin +2 -2
adapter_config.json
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"k_proj"
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:1996d17688515b4e19ed772dbbb715256ae5c6eb55f7f066e224f1141102b711
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size 118097288
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training_args.bin
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size 5368
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