Instructions to use FINGU-AI/Qwen2.5-7b-lora-e-7 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-7 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-7") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from FINGU-AI/Qwen2.5-7b-lora-e-7: direct link, hf CLI and curl.
- Browser
- Download file 5.01 GB
-
https://huggingface.co/FINGU-AI/Qwen2.5-7b-lora-e-7/resolve/main/optimizer.pt
- Command line
-
hf download hf://FINGU-AI/Qwen2.5-7b-lora-e-7/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/FINGU-AI/Qwen2.5-7b-lora-e-7/resolve/main/optimizer.pt
5.01 GB
- Xet hash:
- a6742af80d7b77395f30b0caf82d4f64da2215e1130626cc8531ab3efb3ec61b
- Size of remote file:
- 5.01 GB
- SHA256:
- a767e8c20a59366263633a0367fe3ad159ecd636e10a466b1707d9a34d3b1fd8
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