Instructions to use Fardan/phi2-chat-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fardan/phi2-chat-adapter with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Fardan/phi2-chat-adapter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Fardan/phi2-chat-adapter: direct link, hf CLI and curl.
- Browser
- Download file 5.56 kB
-
https://huggingface.co/Fardan/phi2-chat-adapter/resolve/main/training_args.bin
- Command line
-
hf download hf://Fardan/phi2-chat-adapter/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Fardan/phi2-chat-adapter/resolve/main/training_args.bin
5.56 kB
- Xet hash:
- 6a131f8e7e5ca9f23f5a25300c3353ca715110ff6ca5e800adf6defcf1d1c319
- Size of remote file:
- 5.56 kB
- SHA256:
- de9dba6cb3f9148ad82572739e509ebb3e30381b94b42ba863feec271d31126f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.