Instructions to use jupitertangles/phi-3-mini-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jupitertangles/phi-3-mini-LoRA with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jupitertangles/phi-3-mini-LoRA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jupitertangles/phi-3-mini-LoRA: direct link, hf CLI and curl.
- Browser
- Download file 5.56 kB
-
https://huggingface.co/jupitertangles/phi-3-mini-LoRA/resolve/main/training_args.bin
- Command line
-
hf download hf://jupitertangles/phi-3-mini-LoRA/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jupitertangles/phi-3-mini-LoRA/resolve/main/training_args.bin
5.56 kB
- Xet hash:
- 1534c326ce8a6d4624ce1cec319b89c9fb9d892e901e7dcd315fc0d18df87463
- Size of remote file:
- 5.56 kB
- SHA256:
- 586a2b3591663d2a71dc498abaa8187fc596573be5d8da588be801687e0fc625
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