Instructions to use hyesunyun/edit5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hyesunyun/edit5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hyesunyun/edit5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from hyesunyun/edit5: direct link, hf CLI and curl.
- Browser
- Download file 11.4 GB
-
https://huggingface.co/hyesunyun/edit5/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://hyesunyun/edit5/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/hyesunyun/edit5/resolve/main/flax_model.msgpack
11.4 GB
- Xet hash:
- d9136a0914c07fe80991db97d858e26ecde7957a199177ee7a2829f0fa7007ff
- Size of remote file:
- 11.4 GB
- SHA256:
- e3a45a9db717850d43857daf419207815f57ae34b515aa1cfcac4b5ce2ff834b
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