Instructions to use Nataliia767567/phi_adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nataliia767567/phi_adapter with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Nataliia767567/phi_adapter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Nataliia767567/phi_adapter: direct link, hf CLI and curl.
- Browser
- Download file 5.62 kB
-
https://huggingface.co/Nataliia767567/phi_adapter/resolve/main/training_args.bin
- Command line
-
hf download hf://Nataliia767567/phi_adapter/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Nataliia767567/phi_adapter/resolve/main/training_args.bin
5.62 kB
- Xet hash:
- b6acf0a44db124905555b37ea0a875e4f9462a90b6971d7c865be8dfb1097b39
- Size of remote file:
- 5.62 kB
- SHA256:
- 11d55e22f30182256d99425258c1018c61304dc1e9076432023767a88401e0a7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.