Instructions to use PygTesting/sum_qlora_4pochs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use PygTesting/sum_qlora_4pochs with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-Nemo-Base-2407") model = PeftModel.from_pretrained(base_model, "PygTesting/sum_qlora_4pochs") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from PygTesting/sum_qlora_4pochs: direct link, hf CLI and curl.
- Browser
- Download file 228 MB
-
https://huggingface.co/PygTesting/sum_qlora_4pochs/resolve/main/adapter_model.bin
- Command line
-
hf download hf://PygTesting/sum_qlora_4pochs/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/PygTesting/sum_qlora_4pochs/resolve/main/adapter_model.bin
228 MB
- Xet hash:
- 82625fb3831644997d31ddfb7f296911b30d69730fdb22a450719a376ad45099
- Size of remote file:
- 228 MB
- SHA256:
- 6842a215f1e38f0301c0cee03ee41d3f80d8be8936c1527138a56b9c1e06e1d1
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