Instructions to use cragtmp/task3f2-550 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task3f2-550 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/task3f2-550") - Notebooks
- Google Colab
- Kaggle
Download additional_config.json from cragtmp/task3f2-550: direct link, hf CLI and curl.
- Browser
- Download file 67 Bytes
-
https://huggingface.co/cragtmp/task3f2-550/resolve/main/additional_config.json
- Command line
-
hf download hf://cragtmp/task3f2-550/additional_config.json
-
curl -L -o additional_config.json https://huggingface.co/cragtmp/task3f2-550/resolve/main/additional_config.json
67 Bytes
| {"lora_dtype": null, "lorap_lr_ratio": null, "lorap_emb_lr": 1e-06} |