Instructions to use vidyamdeveloper/Llama-3.2-11B-Vision-Instruct_v1_without_aug 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_v1_without_aug 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_v1_without_aug") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a65051cf7c1233a37912d6efe92b1ba9a05a0d53a313ba35ec6b1be535be473
- Size of remote file:
- 5.62 kB
- SHA256:
- ee9344f550626a9e50e5fcf07c88930808d2f0d80d3655e5f29fecac54201b4c
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