Instructions to use jm14/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jm14/results with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/phi-2") model = PeftModel.from_pretrained(base_model, "jm14/results") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jm14/results: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/jm14/results/resolve/main/training_args.bin
- Command line
-
hf download hf://jm14/results/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jm14/results/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- a42ab03f10eb8a458da7008229ce5a9318d203c6cb5c697157116f29f5b88a95
- Size of remote file:
- 5.18 kB
- SHA256:
- f267e1dd6e57599df269ce955270e8da647e7c353b46eb07f4e39414fe7f9105
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