Instructions to use deepmind/optical-flow-perceiver with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepmind/optical-flow-perceiver with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, PerceiverForOpticalFlow tokenizer = AutoTokenizer.from_pretrained("deepmind/optical-flow-perceiver") model = PerceiverForOpticalFlow.from_pretrained("deepmind/optical-flow-perceiver", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (3aa2a2f19ab717dae518732f21e0fc119230ccf8) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>9c7927a
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initial commit
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