alt.freeweights.vision / xclip-base-patch32
From: microsoft <huggingface.co/microsoft>Newsgroups: alt.freeweights.visionSubject:

xclip-base-patch32

Date: 2026-11-14Commit: a2e27a7Signed: 2DC28CC7B26A283B ✓

Video classification model with 197M parameters. Safetensors weights, 1.58 GB in all. Published by microsoft under MIT.

197M params1.58GBxclip-base-patch32safetensorspermissive
FactsParams197MSize1.58 GBFormatssafetensorsTaskvideo classificationLicenseMITFrom sourcepermissive
$ fw get microsoft/xclip-base-patch32
# manifest sha256 53575a3fb18d… · 1.58 GB · 11 files
$ fw verify ./xclip-base-patch32 microsoft/xclip-base-patch32
From sourceHosted (signed)microsoft/xclip-base-patch32Last check: 2026-11-14 21:23 UTC

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

Overview

Size
1.58 GB
Weights
786 MB (safetensors)
Parameters
197M
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

Sources are tried in order. A file counts only when its size and sha256 match the manifest. Sources are checked when you ask for them, not on a timer.

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

Model card

From the publisher at commit a2e27a7. Shown as plain text with links; images open at the publisher.

X-CLIP (base-sized model)#

X-CLIP model (base-sized, patch resolution of 32) trained fully-supervised 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 8 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 top-1 accuracy of 80.4% and a top-5 accuracy of 95.0%.

Files

11 files · 1.58 GBWeights 786 MB (safetensors). Sizes and sha256 from the signed manifest.
Hide all 11 files with their sha256
FileSizesha256
.gitattributes1.39 KB34851864831d69261f76b89e68c34a9246dd0d179a60176546d9810fe15bfb24
README.md2.73 KB5b4c29da30c14c41dadc2320cedb68d7bc30147aa171c04ce8d3d7b8acf8da91
config.json4.72 KB13bb919d1ef16f3b80b03cdf5c575d688dfafd21d12566849cc557b00e058ce3
merges.txt525 KBf526393189112391ce6f9795d4695f704121ce452c3aad1f5335cc41337eba85
model.safetensors786 MBabf286e8cdd0612761c3e42d3a55eca998382dfa67a04a0f3fdcdfa4f150cdbb
preprocessor_config.json309 Bc14b2b5c8f26a754df62235ba79d1ca63cfdd9b3de76ee688e4a30ea1e5c6986
pytorch_model.bin787 MBd2840b05bd4ed269688ff76a239e703dd930db4a160726c5b79b9ef26f173452
special_tokens_map.json472 Bc4864a9376a8401918425bed71fc14fc0e81f9b59ec45c1cf96cccb2df508eac
tokenizer.json2.22 MBa75dc79c6ec004a7e2d346c20e0af8d29aa2b251ea356964718aef8b8f052e80
tokenizer_config.json965 B7e28810d55aafb02f6b216f05fa1208a4aac62abf794796288a70314eed5ddf3
vocab.json862 KB5047b556ce86ccaf6aa22b3ffccfc52d391ea4accdab9c2f2407da5b742d4363
VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.
Upstream commitDateContents
a2e27a78a2 pinned now manifest updated, same commit2026-11-14 21:23 UTC11 files · 1.58 GB
a2e27a78a22026-11-14 21:23 UTC11 files · 1.58 GB

Use it

$ fw get microsoft/xclip-base-patch32
# manifest sha256 53575a3fb18d… · 1.58 GB · 11 files
$ fw verify ./xclip-base-patch32 microsoft/xclip-base-patch32
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-patch32.json --dir ./xclip-base-patch32 $ python3 fw.py verify ./xclip-base-patch32 ./microsoft__xclip-base-patch32.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download microsoft/xclip-base-patch32 --revision a2e27a78a2b5d802e894b8a1ef14f3a8ce490963 --local-dir ./xclip-base-patch32

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
5b4c29da30c14c41dadc2320cedb68d7bc30147aa171c04ce8d3d7b8acf8da91
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-patch32Date: 2026-11-14Commit: a2e27a7Signed: 2DC28CC7B26A283B ✓
Upstream
microsoft/xclip-base-patch32
Pinned commit
a2e27a78a2b5d802e894b8a1ef14f3a8ce490963
Manifest
xclip-base-patch32.json · .minisig
Manifest sha256
53575a3fb18d5efe2839f2ed28dad958c981f304e7736f8d8b50ed9151007caf
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-patch32.json $ curl -O https://freeweights.allternit.com/manifests/microsoft/xclip-base-patch32.json.minisig $ minisign -Vm xclip-base-patch32.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-patch32
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-patch32.json. Provenance. Takedown history: none.
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