Instructions to use cragtmp/task1-noikd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task1-noikd 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/task1-noikd") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from cragtmp/task1-noikd: direct link, hf CLI and curl.
- Browser
- Download file 5.79 kB
-
https://huggingface.co/cragtmp/task1-noikd/resolve/main/training_args.bin
- Command line
-
hf download hf://cragtmp/task1-noikd/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/cragtmp/task1-noikd/resolve/main/training_args.bin
5.79 kB
- Xet hash:
- 34c5513980a7a8539ae25cca566a10446520a4333ba6cdf428e6a4113a6cf5ac
- Size of remote file:
- 5.79 kB
- SHA256:
- a6742fe31f8595c4bd57b42033fb5357ab76b36d6b9e001cfba354b22f76744e
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