Instructions to use cragtmp/t3r with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/t3r 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/t3r") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 62a16102a11c0e4b888783a07a8d79b068ed81b6d226b7e8803befce1bdc30ae
- Size of remote file:
- 210 MB
- SHA256:
- 3ac0f5c57d3da3f8a7185914797c9431cd8b0fc140337462df3b2b45d04ea49f
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