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:
- 6fa041e2fbc7a16e7643f3e3e5e98c5a5ef9dee2866cdb7a1a679ad9c059a731
- Size of remote file:
- 17.2 MB
- SHA256:
- abd08b46c9c01a903788030f36d9731aad064d0c420e66b88e3e143cda9e4e9a
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