Instructions to use esawtooth/phi-3-mini-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use esawtooth/phi-3-mini-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-4k-instruct") model = PeftModel.from_pretrained(base_model, "esawtooth/phi-3-mini-LoRA") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from esawtooth/phi-3-mini-LoRA: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/esawtooth/phi-3-mini-LoRA/resolve/main/training_args.bin
- Command line
-
hf download hf://esawtooth/phi-3-mini-LoRA/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/esawtooth/phi-3-mini-LoRA/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- 5d2f69ee868208d424da200e42d78bdf278e1f7f23f6bdb684a233aee66b92d9
- Size of remote file:
- 5.43 kB
- SHA256:
- 7a7a8fd3dbf115ac952cb8a597bbebc5bb12fc7f77873ed6cf744efd11d42473
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