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:
- 6f121fc74b7a191c294e86fa64fba3eeccb3286686bd48cf6ce154d13cda7347
- Size of remote file:
- 5.62 kB
- SHA256:
- 47a6f9ee6e249d53ff148bfe059317b67e532bf2323e984dc5773e133638aaf6
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