Instructions to use cragtmp/ans3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/ans3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/data/LLM/Llama-3.2-11B-Vision-Instruct") model = PeftModel.from_pretrained(base_model, "cragtmp/ans3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 893873b5ef1644e24b5d88dc237c3881094e52cd190b33678151d3ca907442b2
- Size of remote file:
- 14.2 kB
- SHA256:
- 24b3c6543670c7963bd39c3be99554ebb63bc32e2da7b820574c72b7fb7b9006
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