Instructions to use hpcai-tech/OpenSora-STDiT-v2-stage2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hpcai-tech/OpenSora-STDiT-v2-stage2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hpcai-tech/OpenSora-STDiT-v2-stage2", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hpcai-tech/OpenSora-STDiT-v2-stage2", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 72b2356902bfea5d5115422fba8da2153608467fec9b6e7d1892b73bb5a8f11c
- Size of remote file:
- 3.07 GB
- SHA256:
- 23bc87058b2452597e4e0e3aa0e459fa7beaae252a10f0a46052157f8c22d17b
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