Instructions to use KrithikV/phi-3-mini-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use KrithikV/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, "KrithikV/phi-3-mini-LoRA") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from KrithikV/phi-3-mini-LoRA: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/KrithikV/phi-3-mini-LoRA/resolve/main/training_args.bin
- Command line
-
hf download hf://KrithikV/phi-3-mini-LoRA/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/KrithikV/phi-3-mini-LoRA/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- d39d43d47d86a2f9ea18f73b44250177228062e61b18a6d916482b49eca049e6
- Size of remote file:
- 5.43 kB
- SHA256:
- 8878f600d4eaa80da8759065d02110b078211820bd1ce796ab6d601701cd3a70
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