Instructions to use ashercn97/OpenOrcaUpload with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ashercn97/OpenOrcaUpload with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openlm-research/open_llama_3b") model = PeftModel.from_pretrained(base_model, "ashercn97/OpenOrcaUpload") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ashercn97/OpenOrcaUpload: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/ashercn97/OpenOrcaUpload/resolve/main/training_args.bin
- Command line
-
hf download hf://ashercn97/OpenOrcaUpload/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ashercn97/OpenOrcaUpload/resolve/main/training_args.bin
3.96 kB
- Xet hash:
- 427aeb2b888272fa874cdf6498cff8389ebfcc00d453f392d98de531fecec362
- Size of remote file:
- 3.96 kB
- SHA256:
- 2591f7291cdc629a8741864df00a9bd8158c7a8e9dbb7c33f9bdbcb4ac8ab8fc
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