Instructions to use VERSIL91/61e5d373-5b91-4a41-987d-24cd7059f249 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/61e5d373-5b91-4a41-987d-24cd7059f249 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-128k-instruct") model = PeftModel.from_pretrained(base_model, "VERSIL91/61e5d373-5b91-4a41-987d-24cd7059f249") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/training_args.bin from VERSIL91/61e5d373-5b91-4a41-987d-24cd7059f249: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/VERSIL91/61e5d373-5b91-4a41-987d-24cd7059f249/resolve/main/last-checkpoint/training_args.bin
- Command line
-
hf download hf://VERSIL91/61e5d373-5b91-4a41-987d-24cd7059f249/last-checkpoint/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/VERSIL91/61e5d373-5b91-4a41-987d-24cd7059f249/resolve/main/last-checkpoint/training_args.bin
6.78 kB
- Xet hash:
- 45082de42cd671e3d47a37702d09434f681ff07320499a43ae2d950c8ccfc65d
- Size of remote file:
- 6.78 kB
- SHA256:
- 1f1f0c42904757b0955d47cc06efd1696628185be19d5c2df5e3dc35a8a41fcd
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