Instructions to use Team-PIXEL/pixel-base-bigrams with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Team-PIXEL/pixel-base-bigrams with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForPreTraining model = AutoModelForPreTraining.from_pretrained("Team-PIXEL/pixel-base-bigrams", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from Team-PIXEL/pixel-base-bigrams: direct link, hf CLI and curl.
- Browser
- Download file 893 MB
-
https://huggingface.co/Team-PIXEL/pixel-base-bigrams/resolve/main/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://Team-PIXEL/pixel-base-bigrams/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Team-PIXEL/pixel-base-bigrams/resolve/main/last-checkpoint/optimizer.pt
893 MB
- Xet hash:
- 8f3605cbe2ec3de9ec20fdefcd308be5379005e92a67b730be21360b14795651
- Size of remote file:
- 893 MB
- SHA256:
- 3934f519240d590552d43746648c081056a7995bf6c44310ab67246f6ef8ad67
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.