alt.freeweights.vision / xclip-base-patch16-zero-shot
From: microsoft <huggingface.co/microsoft>Newsgroups: alt.freeweights.visionSubject:

xclip-base-patch16-zero-shot

Date: 2026-11-14Commit: 6746d6aSigned: 2DC28CC7B26A283B ✓

Video classification model with 195M parameters. Safetensors weights, 1.56 GB in all. Published by microsoft under MIT.

195M params1.56GBxclip-base-patch16-zero-shotsafetensorspermissive
FactsParams195MSize1.56 GBFormatssafetensorsTaskvideo classificationLicenseMITFrom sourcepermissive
$ fw get microsoft/xclip-base-patch16-zero-shot
# manifest sha256 f83a07e4568b… · 1.56 GB · 11 files
$ fw verify ./xclip-base-patch16-zero-shot microsoft/xclip-base-patch16-zero-shot
From sourceHosted (signed)microsoft/xclip-base-patch16-zero-shotLast check: 2026-11-14 21:23 UTC

Get help: custom fine-tune or private deploy. We review your setup before we quote.

Overview

Size
1.56 GB
Weights
780 MB (safetensors)
Parameters
195M
Formats
safetensors
Task
video classification
License
MIT (permissive)
Files
11, each with a sha256
Publisher
microsoft
Added
2026-11-14
Section
alt.freeweights.vision
Lineage

Original release from the publisher.

Where these bytes come from
Publisher at the pinned commit→You

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Sources
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From sourcehuggingface.co2026-11-14 21:23 UTCpassed

Model card

From the publisher at commit 6746d6a. Shown as plain text with links; images open at the publisher.

X-CLIP (base-sized model)#

X-CLIP model (base-sized, patch resolution of 16) trained on Kinetics-400. It was introduced in the paper Expanding Language-Image Pretrained Models for General Video Recognition by Ni et al. and first released in this repository.

This model was trained using 32 frames per video, at a resolution of 224x224.

Disclaimer: The team releasing X-CLIP did not write a model card for this model so this model card has been written by the Hugging Face team.

Model description#

X-CLIP is a minimal extension of CLIP for general video-language understanding. The model is trained in a contrastive way on (video, text) pairs.

Image: X-CLIP architecture

This allows the model to be used for tasks like zero-shot, few-shot or fully supervised video classification and video-text retrieval.

Intended uses & limitations#

You can use the raw model for determining how well text goes with a given video. See the model hub to look for fine-tuned versions on a task that interests you.

How to use#

For code examples, we refer to the documentation.

Training data#

This model was trained on Kinetics 400.

Preprocessing#

The exact details of preprocessing during training can be found here.

The exact details of preprocessing during validation can be found here.

During validation, one resizes the shorter edge of each frame, after which center cropping is performed to a fixed-size resolution (like 224x224). Next, frames are normalized across the RGB channels with the ImageNet mean and standard deviation.

Evaluation results#

This model achieves a zero-shot top-1 accuracy of 44.6% on HMDB-51, 72.0% on UCF-101 and 65.2% on Kinetics-600.

Files

11 files · 1.56 GBWeights 780 MB (safetensors). Sizes and sha256 from the signed manifest.
Hide all 11 files with their sha256
FileSizesha256
.gitattributes1.44 KB20cb01c2bd9b0ae0863422f9da41b20f10f93e009e657f411a41402f51ccf391
README.md3.02 KBd4aa9deca77e6eb675b84f14cd41d9e4879ba3c21baac35fb80d4864c0d25cb0
config.json8.90 KB6416b40171bcf1dae39904aad1dea0ab24ada831661f8731b5cef3bfbd7d17d7
merges.txt525 KB9fd691f7c8039210e0fced15865466c65820d09b63988b0174bfe25de299051a
model.safetensors780 MB0057077dd2bb6a5852fc9150f6e08f866448f4928f0acd7b267007f22a6adaf7
preprocessor_config.json310 B3376c13ec67e5505734b3d5b61d51b7f753cb1896d9661171c25ad35afcb69b6
pytorch_model.bin780 MB6f57805daf0db792cc4a09e99b72c97feb2b7e7a0a99c219718d28186d852fe4
special_tokens_map.json472 Bc4864a9376a8401918425bed71fc14fc0e81f9b59ec45c1cf96cccb2df508eac
tokenizer.json2.22 MBf3dba9c5f2100fc09edb20622a18083f1fbf5041e4c0af371959bd7502428d44
tokenizer_config.json927 B1636bf45a35613aa5bc18520bca07d58550d3b272b6f8a12fc17363f52b2a930
vocab.json1.06 MBe089ad92ba36837a0d31433e555c8f45fe601ab5c221d4f607ded32d9f7a4349
VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.
Upstream commitDateContents
6746d6a520 pinned now manifest updated, same commit2026-11-14 21:23 UTC11 files · 1.56 GB
6746d6a5202026-11-14 21:23 UTC11 files · 1.56 GB

Use it

$ fw get microsoft/xclip-base-patch16-zero-shot
# manifest sha256 f83a07e4568b… · 1.56 GB · 11 files
$ fw verify ./xclip-base-patch16-zero-shot microsoft/xclip-base-patch16-zero-shot
fw.pyChecks the signature and every sha256, tries each source in order, resumes.
$ python3 fw.py get https://freeweights.allternit.com/manifests/microsoft/xclip-base-patch16-zero-shot.json --dir ./xclip-base-patch16-zero-shot $ python3 fw.py verify ./xclip-base-patch16-zero-shot ./microsoft__xclip-base-patch16-zero-shot.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download microsoft/xclip-base-patch16-zero-shot --revision 6746d6a5202bf24300cd9bf36f457f174483d41b --local-dir ./xclip-base-patch16-zero-shot

License

Name
MIT License
Id
MIT
Class
Permissive
Redistribution
yes
Listing
Hosted (signed)
Decided
License as declared by the publisher. No person read it. 2026-11-14
Text in
README.md
Text sha256
d4aa9deca77e6eb675b84f14cd41d9e4879ba3c21baac35fb80d4864c0d25cb0
Terms gate
No extra terms beyond the license.

Read the license text

Licenses are checked against the license table. A custom license passes only after a person reads it.

Provenance

From: microsoft <huggingface.co/microsoft>Newsgroups: alt.freeweights.visionSubject: xclip-base-patch16-zero-shotDate: 2026-11-14Commit: 6746d6aSigned: 2DC28CC7B26A283B ✓
Upstream
microsoft/xclip-base-patch16-zero-shot
Pinned commit
6746d6a5202bf24300cd9bf36f457f174483d41b
Manifest
xclip-base-patch16-zero-shot.json · .minisig
Manifest sha256
f83a07e4568b1eea05450a5e6ceeb13b8d948da5fecaa96d3d09b342a543bcdd
Signature
minisign, Ed25519, key 2DC28CC7B26A283B
Created
2026-11-14 21:23 UTC
Generator
freeweights-manifest/0.1.0
Takedowns
None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/microsoft/xclip-base-patch16-zero-shot.json $ curl -O https://freeweights.allternit.com/manifests/microsoft/xclip-base-patch16-zero-shot.json.minisig $ minisign -Vm xclip-base-patch16-zero-shot.json -P RWQ7KGqyx4zCLXtUFOqvfv8L3g+8fpKJ1FsuxPyOYMF+4KufbUxKq1Oq $ shasum -a 256 <file> # compare with the Files tab

A manifest whose signature fails must be rejected. A file whose size or sha256 does not match must be discarded. Verify a download

Model tree

No related models in this catalog.Nothing here lists this model as its parent, and it names no parent.
Get it
Download
$ HF_ENDPOINT=https://freeweights.allternit.com hf download microsoft/xclip-base-patch16-zero-shot
Open in Freeweights Studio

Pull, verify and run it in the Allternit app on Desktop, web or phone.

Signed manifest
minisign, key 2DC28CC7B26A283B. xclip-base-patch16-zero-shot.json. Provenance. Takedown history: none.
From: dima806 <huggingface.co/dima806>Subject: ai_vs_real_image_detection
From: legekka <huggingface.co/legekka>Subject: AI-Anime-Image-Detector-ViT
From: onnx-community <huggingface.co/onnx-community>Subject: AI-Anime-Image-Detector-ViT-ONNX
From: AICodexLab <huggingface.co/AICodexLab>Subject: answerdotai-ModernBERT-base-ai-detector
From: onnx-community <huggingface.co/onnx-community>Subject: answerdotai-ModernBERT-base-ai-detector-ONNX
From: onnx-community <huggingface.co/onnx-community>Subject: bart-large-cnn-ONNX