Instructions to use Team-PIXEL/pixel-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Team-PIXEL/pixel-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForPreTraining model = AutoModelForPreTraining.from_pretrained("Team-PIXEL/pixel-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Team-PIXEL/pixel-base: direct link, hf CLI and curl.
- Browser
- Download file 449 MB
-
https://huggingface.co/Team-PIXEL/pixel-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Team-PIXEL/pixel-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Team-PIXEL/pixel-base/resolve/main/pytorch_model.bin
449 MB
- Xet hash:
- 75dd01289a6b916e2d8a302f30063aa92a5e81f9f8fa134e9b1979f875b7456b
- Size of remote file:
- 449 MB
- SHA256:
- 95c385e8e74e4a9e4e29d16e7bcc51330a32ca96f31f3958d42f7f6d81cb5517
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.