Instructions to use viv6267/Test_sagemaker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use viv6267/Test_sagemaker with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("NousResearch/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "viv6267/Test_sagemaker") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from viv6267/Test_sagemaker: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/viv6267/Test_sagemaker/resolve/main/training_args.bin
- Command line
-
hf download hf://viv6267/Test_sagemaker/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/viv6267/Test_sagemaker/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- 7c0b95702f3e8d72ace8cce6f2647e895e9ec7706e57f090e8f9a79df5041066
- Size of remote file:
- 5.43 kB
- SHA256:
- d94b593d9433a88b412268f9aaf1c136829e9b2c79ddaa864899a25b9fcfeb96
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