Instructions to use dalle-mini/dalle-mega with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dalle-mini/dalle-mega with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import eBart model = eBart.from_pretrained("dalle-mini/dalle-mega", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from dalle-mini/dalle-mega: direct link, hf CLI and curl.
- Browser
- Download file 10.4 GB
-
https://huggingface.co/dalle-mini/dalle-mega/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://dalle-mini/dalle-mega/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/dalle-mini/dalle-mega/resolve/main/flax_model.msgpack
10.4 GB
- Xet hash:
- 51d4bb4c0cdd4690846fa94637733fcf1980867c4a8a53993d2d8c21a5c53ebe
- Size of remote file:
- 10.4 GB
- SHA256:
- 35a6c84b02cff45f7257283dbc7f2e4c403950ef146d9f0c9f5e6b9848b9602c
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