Instructions to use PygTesting/sum_qlora_1epoch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use PygTesting/sum_qlora_1epoch 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_1epoch") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from PygTesting/sum_qlora_1epoch: direct link, hf CLI and curl.
- Browser
- Download file 228 MB
-
https://huggingface.co/PygTesting/sum_qlora_1epoch/resolve/main/adapter_model.bin
- Command line
-
hf download hf://PygTesting/sum_qlora_1epoch/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/PygTesting/sum_qlora_1epoch/resolve/main/adapter_model.bin
228 MB
- Xet hash:
- bca1fb7de9e3cd012ac92341de1e9a583920d37a1032539df48dc576addf3d6a
- Size of remote file:
- 228 MB
- SHA256:
- 01d4ca2d8b09aec5354519a3a4563e4d34b64e4ce9ef670e2c4d4cc4f5486d7d
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