Instructions to use cragtmp/task3f2-900 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task3f2-900 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/data1/chenjiazun/LLM/Llama-3.2-11B-Vision-Instruct") model = PeftModel.from_pretrained(base_model, "cragtmp/task3f2-900") - Notebooks
- Google Colab
- Kaggle
Download trainer_state.json from cragtmp/task3f2-900: direct link, hf CLI and curl.
- Browser
- Download file 578 kB
-
https://huggingface.co/cragtmp/task3f2-900/resolve/main/trainer_state.json
- Command line
-
hf download hf://cragtmp/task3f2-900/trainer_state.json
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curl -L -o trainer_state.json https://huggingface.co/cragtmp/task3f2-900/resolve/main/trainer_state.json
578 kB
File too large to display, you can check the raw version instead.