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 last-checkpoint/scheduler.pt from Team-PIXEL/pixel-base: direct link, hf CLI and curl.
- Browser
- Download file 623 Bytes
-
https://huggingface.co/Team-PIXEL/pixel-base/resolve/b3ea0f4062f60bbee6ae20a64d1ca49395311441/last-checkpoint/scheduler.pt
- Command line
-
hf download hf://Team-PIXEL/pixel-base@b3ea0f4062f60bbee6ae20a64d1ca49395311441/last-checkpoint/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/Team-PIXEL/pixel-base/resolve/b3ea0f4062f60bbee6ae20a64d1ca49395311441/last-checkpoint/scheduler.pt
623 Bytes
- Xet hash:
- 707f467d22568d7eb7dc69744ff6da343f057eb2a55a9613c1fae28dc906ebef
- Size of remote file:
- 623 Bytes
- SHA256:
- d806e9f9f09813043b95cbeda18b18cdfb60c100fbde3239bf79ee81c659dc36
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.