Instructions to use flax-community/t5-vae-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flax-community/t5-vae-python with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import T5VaeForAutoencoding model = T5VaeForAutoencoding.from_pretrained("flax-community/t5-vae-python", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitmodules from flax-community/t5-vae-python: direct link, hf CLI and curl.
- Browser
- Download file 208 Bytes
-
https://huggingface.co/flax-community/t5-vae-python/resolve/main/.gitmodules
- Command line
-
hf download hf://flax-community/t5-vae-python/.gitmodules
-
curl -L -o .gitmodules https://huggingface.co/flax-community/t5-vae-python/resolve/main/.gitmodules
208 Bytes
| [submodule "t5-vae-flax"] | |
| path = t5-vae-flax | |
| url = https://github.com/Fraser-Greenlee/t5-vae-flax.git | |
| [submodule "t5_vae_flax"] | |
| path = t5_vae_flax | |
| url = https://github.com/Fraser-Greenlee/t5-vae-flax.git | |