Instructions to use cragtmp/tool with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/tool 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/tool") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37dceaa4306d6eb4cedd60bc7b62a9a383d48850e88bf29d663a2cf3ecdcc8d4
- Size of remote file:
- 1.06 kB
- SHA256:
- cf6a9a1e39c0655c6941309388d2a028b5b8dbbca031ca2500bdfcdc9f2c01aa
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