Instructions to use helloworldabc/7b_date1_v2345_data2_v2344_adapta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use helloworldabc/7b_date1_v2345_data2_v2344_adapta with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct") model = PeftModel.from_pretrained(base_model, "helloworldabc/7b_date1_v2345_data2_v2344_adapta") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from helloworldabc/7b_date1_v2345_data2_v2344_adapta: direct link, hf CLI and curl.
- Browser
- Download file 1.29 GB
-
https://huggingface.co/helloworldabc/7b_date1_v2345_data2_v2344_adapta/resolve/main/optimizer.pt
- Command line
-
hf download hf://helloworldabc/7b_date1_v2345_data2_v2344_adapta/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/helloworldabc/7b_date1_v2345_data2_v2344_adapta/resolve/main/optimizer.pt
1.29 GB
- Xet hash:
- 1f6493f2f963fca8b16cf0085ef48f8ac1f16dd5c441a0302e82d3c48967ad65
- Size of remote file:
- 1.29 GB
- SHA256:
- 3d54c321a693f5c4de863ece3ecda775710bb3ad635b79f1d9a5d5c7b5d22068
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