embedding
X-CLIP base patch32
CLIP extended to video with cross-frame attention, for zero-shot and few-shot video classification and video-text retrieval.

Levelmodel
Classembedding
Parameters196.59M
Contextnot in the notes
Released4 Aug 2022
Opennessopen weights permissive
Runs onnot in the notes
Statusactive
R&D Topics
Identity
- Developer
- Microsoft AI
- Family
- not in the notes
- Released
- 4 Aug 2022 sourcesannouncement page
- Weights published
- –
- Record checked
- 12 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.
Architecture and Size
- Architecture
- dense transformer
- Total parameters
- 196.59M sources
- Active parameters
- –
- Checkpoint parameters
- –
- Note
- Parameter count from the safetensors index on Hugging Face.
- Context length
- not in the notes
- Input
- text, video
- Output
- text
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).
Openness and Access
- Openness
- open weights permissive
- Licence
- MIT License sources
- Access routes
- open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- not in the notes
- Footprint
- not in the notes
- Runtimes
- not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.
Indonesia
- Indonesian support
- not stated
- Regional languages
- not in the notes
- Jakarta hosting
- unknown
- Languages
- Model card languages: en
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.
Benchmark Results
The notes record no benchmark result for this model.
Lineage
The notes record no lineage for this model.
Industry Use Cases
No industry use case links this model.
Links
Developer
Microsoft AIbig tech, USA
Microsoft AIbig tech, USAModel
X-CLIP base patch32Microsoft AI, embedding
X-CLIP base patch32Microsoft AI, embeddingR&D TopicsContrastive Image-Text Encoders (CLIP and SigLIP Lines)Video Action Recognition and Temporal Understanding
Use CasesPathology Whole-Slide ImagingHealthcareUse cases of models in the same R&D topic; none is recorded for this model itself.
Who Runs Itnone recordedDeployments of these use cases; none names this model.
Organisations 1
Sources
- arxiv.org/abs/2208.02816 https://arxiv.org/abs/2208.02816
- huggingface.co/microsoft/xclip-base-patch32 https://huggingface.co/microsoft/xclip-base-patch32
- huggingface.co/api/models?pipeline_tag=video-classification&... https://huggingface.co/api/models?pipeline_tag=video-classification&sort=downloads&limit=50
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "X-CLIP Base patch32", https://aurion.semai.id/models/microsoft-xclip-base-patch32/, records of October 2026.