Instructions to use vidyamdeveloper/Llama-3.2-11B-Vision-Instruct_output_v3 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-Instruct_output_v3 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-Instruct_output_v3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a389b311e8e4293b1d9d1ec34ea29313dc72a17f6d90b0e0ba91b7422f242aea
- Size of remote file:
- 5.69 kB
- SHA256:
- acba852f26fb724e1d228a43195b499db593ac2b4febf5e34db2fa86cab1b235
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