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:
# 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
- Xet hash:
- 716206956ae27d28207ecea702fc94a216eed8feefedad9ad568a765fd006cfe
- Size of remote file:
- 164 MB
- SHA256:
- fcfa0b3bf2801006764051216407c1fed359f6611dc377cf0ebe762b5848cf85
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