Instructions to use jak6/results_medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jak6/results_medium with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-medium-128k-instruct") model = PeftModel.from_pretrained(base_model, "jak6/results_medium") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jak6/results_medium: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/jak6/results_medium/resolve/main/training_args.bin
- Command line
-
hf download hf://jak6/results_medium/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jak6/results_medium/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 2ba22e02b702b579b0366f51ad602e68cdacc8b12b1d64d77c8d6da8a10b4a75
- Size of remote file:
- 5.37 kB
- SHA256:
- 2238ab46638afc5042f2d8039db5bac811e3d4799bfd3432804b436917393f0d
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