Instructions to use xiaomoguhzz/VisionEncoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xiaomoguhzz/VisionEncoder with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("xiaomoguhzz/VisionEncoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 534 Bytes
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"failures": 2,
"index_sha256": "b612ec89bd36768a906bc3333fc570e9392db1df0bcb2d3175da5448835b88a0",
"num_frames": 32,
"num_workers": 32,
"prefetch_factor": 2,
"records": 178490,
"resolution": 384,
"sampling": "uniform_full_duration",
"schema": "visionencoder.v12_1_s0_video_frame_cache",
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"source": "v11_2_1_current",
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