Instructions to use clementchadebec/reproduced_beta_tc_vae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- pythae
How to use clementchadebec/reproduced_beta_tc_vae with pythae:
from pythae.models import AutoModel model = AutoModel.load_from_hf_hub("clementchadebec/reproduced_beta_tc_vae") - Notebooks
- Google Colab
- Kaggle
Download decoder.pkl from clementchadebec/reproduced_beta_tc_vae: direct link, hf CLI and curl.
- Browser
- Download file 31.3 MB
-
https://huggingface.co/clementchadebec/reproduced_beta_tc_vae/resolve/main/decoder.pkl
- Command line
-
hf download hf://clementchadebec/reproduced_beta_tc_vae/decoder.pkl
-
curl -L -o decoder.pkl https://huggingface.co/clementchadebec/reproduced_beta_tc_vae/resolve/main/decoder.pkl
31.3 MB
- Xet hash:
- e1608ca3078425f5947636e520804ea0650de338d58c33b036c1e172484aa62e
- Size of remote file:
- 31.3 MB
- SHA256:
- 3642fd93323d87849d6d39aecf0962e134a4931b781c57156d94313184bfdd72
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