Instructions to use amdbook/phi-3-mini-QLoRA-trained-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use amdbook/phi-3-mini-QLoRA-trained-model 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, "amdbook/phi-3-mini-QLoRA-trained-model") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from amdbook/phi-3-mini-QLoRA-trained-model: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/amdbook/phi-3-mini-QLoRA-trained-model/resolve/main/training_args.bin
- Command line
-
hf download hf://amdbook/phi-3-mini-QLoRA-trained-model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/amdbook/phi-3-mini-QLoRA-trained-model/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- 489e0c441dcf90697dd6599089be647c98f8beaa1d5dee28edd322a89f7a8c1c
- Size of remote file:
- 5.43 kB
- SHA256:
- ef78f35e3b8f3493639d932a667f2e522abbc34b0fe227b6a3ec6c19621f4e99
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