Instructions to use prakhar123/phi-2-docker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prakhar123/phi-2-docker with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/phi-2") model = PeftModel.from_pretrained(base_model, "prakhar123/phi-2-docker") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from prakhar123/phi-2-docker: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/prakhar123/phi-2-docker/resolve/main/training_args.bin
- Command line
-
hf download hf://prakhar123/phi-2-docker/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/prakhar123/phi-2-docker/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- 60feaedf8e5688ce0c5f35b3af7bdedea21b998e580dd7e12138756cd42a6e35
- Size of remote file:
- 5.43 kB
- SHA256:
- 5d79bac4b714bd0955189910800c2f06f7152e4eeeb140f86f51d40577092dd5
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