Instructions to use FINGU-AI/Qwen2.5-7b-lora-e-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use FINGU-AI/Qwen2.5-7b-lora-e-2 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, "FINGU-AI/Qwen2.5-7b-lora-e-2") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from FINGU-AI/Qwen2.5-7b-lora-e-2: direct link, hf CLI and curl.
- Browser
- Download file 5.01 GB
-
https://huggingface.co/FINGU-AI/Qwen2.5-7b-lora-e-2/resolve/main/optimizer.pt
- Command line
-
hf download hf://FINGU-AI/Qwen2.5-7b-lora-e-2/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/FINGU-AI/Qwen2.5-7b-lora-e-2/resolve/main/optimizer.pt
5.01 GB
- Xet hash:
- d52236f7fc4ef7e4c90b6368a993f89be48cf7dfbe62eae8467e470c5f5258a1
- Size of remote file:
- 5.01 GB
- SHA256:
- 09a034505df1dff9ad9c8dc5b27f3016d98352bb22bc29412f88c1ae3cc4a8f9
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