Clip Vit Base Patch16
Xenova/clip-vit-base-patch16 is a model repository on Hugging Face that hosts a version of the CLIP ViT-B/16 architecture. It is provided for use in JavaScript-based machine learning environments through compatibility with Transformers.js and ONNX.js. The repository was created on 19 May 2023 and last modified on 8 October 2024. It has recorded over 868000 downloads to date.
The entry contains configuration details for a tokenizer that includes specific added tokens for beginning-of-sequence, end-of-sequence, padding, and unknown tokens, all set with defined stripping and normalization behaviors. No further capabilities, tasks, or technical specifications are described on the page itself. The model is listed without any assigned inference providers and with discussions enabled under recent sorting.
It forms part of the broader collection of models hosted on the Hugging Face platform, which focuses on open source and open science initiatives in artificial intelligence. The page provides no information on licensing, pricing, target audience, or deployment methods beyond the repository context.
Overview
3 featuresIn the Other AI space, Clip Vit Base Patch16 takes a focused approach. It focuses on running CLIP vision-language models directly in the browser or Node.js without Python dependencies. It is built as an open-source project for developers. Clip Vit Base Patch16 is open source under the Open Source license. Clip Vit Base Patch16 is available on the web, the command line, and API.
It is developed by Xenova. Among its 3 catalogued features are Image Embeddings, Text Embeddings, and Zero-shot Classification.
Summary written by a language model from the project’s public pages.
- Image Embeddings
- Text Embeddings
- Zero-shot Classification
Built with & integrations
- AWS
- x-amz-cf-id header · x-amz-cf-pop header · via header
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed21 Jul · 18:09 UTCXenova/clip-vit-base-patch16 verified against its public sourceSource: PulseGate · Open
Frequently asked questions about Clip Vit Base Patch16
- What does Clip Vit Base Patch16 do?
- Clip Vit Base Patch16 focuses on running CLIP vision-language models directly in the browser or Node.js without Python dependencies. It is catalogued under Other AI on PulseGate.
- Who should use Clip Vit Base Patch16?
- Clip Vit Base Patch16 is an open-source project built for developers.
- Does Clip Vit Base Patch16 have a free plan?
- Yes — Clip Vit Base Patch16 is open source under the Open Source license and free to use.
- What platforms does Clip Vit Base Patch16 run on?
- Clip Vit Base Patch16 runs on the web, the command line, and API.
- Is Clip Vit Base Patch16 still maintained?
- Unverified. Clip Vit Base Patch16 has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
- What are alternatives to Clip Vit Base Patch16?
- Similar projects tracked by PulseGate include Clip Vit Base Patch32, Clip Vit Base Patch32, and Vit Base Patch32 Clip 224.openai.Clip Vit Base Patch32Clip Vit Base Patch32Vit Base Patch32 Clip 224.openai
- Who makes Clip Vit Base Patch16?
- Clip Vit Base Patch16 is developed by Xenova.
- Is Clip Vit Base Patch16 open source?
- Yes — Clip Vit Base Patch16 is open source under the Open Source license.
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