Instructions to use codegood/Mphi_QA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use codegood/Mphi_QA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/phi-1_5") model = PeftModel.from_pretrained(base_model, "codegood/Mphi_QA") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from codegood/Mphi_QA: direct link, hf CLI and curl.
- Browser
- Download file 4.66 kB
-
https://huggingface.co/codegood/Mphi_QA/resolve/main/training_args.bin
- Command line
-
hf download hf://codegood/Mphi_QA/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/codegood/Mphi_QA/resolve/main/training_args.bin
4.66 kB
- Xet hash:
- 4facb43df23c74a478050963e343ba6547924f71da08c390ae769ba4b5e705f2
- Size of remote file:
- 4.66 kB
- SHA256:
- 5da540b2350a59a744c709ca5d8f323c4c62ae3e18c8d1a193fb34ec9bba6d3e
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