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/86752742ac4f3482a427bedda6c1eef328185025/pytorch_model.bin
- Command line
-
hf download hf://Team-PIXEL/pixel-base@86752742ac4f3482a427bedda6c1eef328185025/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Team-PIXEL/pixel-base/resolve/86752742ac4f3482a427bedda6c1eef328185025/pytorch_model.bin
449 MB
- Xet hash:
- 5448ba95269be26d66dc6cee57f758d765b54db150a137398148366fb9f6ef18
- Size of remote file:
- 449 MB
- SHA256:
- 4fb067e8d99d964806b68ae99e0f39bdecb3dd4f00cbe7958a115e1392dffcc7
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