Instructions to use vidyamdeveloper/LLAMA_3.2_11B_VISION_INSTRUCR_DISEASE_V4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vidyamdeveloper/LLAMA_3.2_11B_VISION_INSTRUCR_DISEASE_V4 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, "vidyamdeveloper/LLAMA_3.2_11B_VISION_INSTRUCR_DISEASE_V4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5a024593291cd860f5f9f69d7f69b25c0fafeb1b7e12ecccd38de11fd3a4a66f
- Size of remote file:
- 5.69 kB
- SHA256:
- 27c0a7d85e4182e26098972cc814b80e061994056f05295003e8afec802dd324
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