Instructions to use akashAD/phi-2-query_test100data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use akashAD/phi-2-query_test100data 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, "akashAD/phi-2-query_test100data") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from akashAD/phi-2-query_test100data: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/akashAD/phi-2-query_test100data/resolve/main/training_args.bin
- Command line
-
hf download hf://akashAD/phi-2-query_test100data/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/akashAD/phi-2-query_test100data/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- 423013c60050505a00725bfbda32885be81e5036aae539cbf1882941a011164a
- Size of remote file:
- 4.73 kB
- SHA256:
- 51e7f4e43eca8a4e59bdc94c356ca2b6a6156e205054afe6e222f1e353e0f8fa
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