Instructions to use jfischoff/next-pose-512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jfischoff/next-pose-512 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jfischoff/next-pose-512", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download diffusion_flax_model.msgpack from jfischoff/next-pose-512: direct link, hf CLI and curl.
- Browser
- Download file 1.45 GB
-
https://huggingface.co/jfischoff/next-pose-512/resolve/main/diffusion_flax_model.msgpack
- Command line
-
hf download hf://jfischoff/next-pose-512/diffusion_flax_model.msgpack
-
curl -L -o diffusion_flax_model.msgpack https://huggingface.co/jfischoff/next-pose-512/resolve/main/diffusion_flax_model.msgpack
1.45 GB
- Xet hash:
- f623a8b2133a5290d570a241090a813100c6ec41b709ad7c21c429727b5ef8e0
- Size of remote file:
- 1.45 GB
- SHA256:
- 07db268d62c32d639b59042f1efc492565559a301a8ac5802aad57de170483d5
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