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xclip-onnx
imbcmdth/xclip-onnx
xclip-onnx is a video classification model from imbcmdth. Use it for the video classification task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Two ONNX graphs exported from microsoft/xclip-base-patch16-kinetics-600 (MIT license, code and weights) at revision e4921c41fc296102aae210d43d4127c5e3e51928, for use through wasi:nn where no PyTorch runtime is availab…
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Public
Updated Sep 3, 2026
Repo size
753 MB
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.onnx753 MB · 100%
At a glance
- Task
- Video Classification
- License
- mit
- Access
- Public
- Created
- Sep 3, 2026
- Updated
- Sep 3, 2026
- SHA
- 649f3c91
Base models
Model card
From the Hugging Face model README
xclip-onnx
Two ONNX graphs exported from
microsoft/xclip-base-patch16-kinetics-600
(MIT license, code and weights) at revision
e4921c41fc296102aae210d43d4127c5e3e51928, for use through wasi:nn
where no PyTorch runtime is available. Used by
ffrwd/describe.
There is no official or community ONNX export of X-CLIP; these are
produced by scripts/export_xclip.py in that repository, opset 17, no
dynamic axes, and validated against the PyTorch model on export (max
absolute diff ~1e-6, float32 rounding noise).
Files
| file | tower | input | output |
|---|---|---|---|
video_tower.onnx | get_video_features | pixel_values [1, 8, 3, 224, 224] fp32 | video_embeds [1, 512] |
text_tower.onnx | get_text_features | input_ids, attention_mask, both [1, 77] i64 | text_embeds [1, 512] |
Both towers' output is the model's pooler_output field, which
X-CLIP overwrites with the projected embedding (not the tower's own
pooled hidden state) - the field the export script pulls explicitly.
License
MIT, following the source model.
- Task
- Video Classification
- License
- mit
- Created
- Sep 3, 2026
- Updated
- Sep 3, 2026