Instructions to use Nadav/pixel-intermediate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nadav/pixel-intermediate with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForPreTraining model = AutoModelForPreTraining.from_pretrained("Nadav/pixel-intermediate", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Nadav/pixel-intermediate: direct link, hf CLI and curl.
- Browser
- Download file 5.55 kB
-
https://huggingface.co/Nadav/pixel-intermediate/resolve/main/training_args.bin
- Command line
-
hf download hf://Nadav/pixel-intermediate/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Nadav/pixel-intermediate/resolve/main/training_args.bin
5.55 kB
- Xet hash:
- abb1ee4b3495c4c0af0186c20184544dfbaaece4d9963ffff3b3c22ac3fd0963
- Size of remote file:
- 5.55 kB
- SHA256:
- 06d7793bf7f922dc898c4ecfc820797566f809efb7c64280000f142e6ced9387
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.