Instructions to use Nac31/runpod-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Nac31/runpod-test with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "Nac31/runpod-test") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Nac31/runpod-test: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/Nac31/runpod-test/resolve/main/training_args.bin
- Command line
-
hf download hf://Nac31/runpod-test/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Nac31/runpod-test/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 679d4a987d131a8145fbd2f41541a7c92a44e3e6387f8a6aa1652dfbaf54c453
- Size of remote file:
- 5.3 kB
- SHA256:
- 0aee8d9ec74d5cf4b0c9989210f1f2d727453ec79c317ccdb17be4d777bb129e
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