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Dang Quoc Dung

dungdq1

Models in Library1
Datasets in Library1
Models on Hugging Face3
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This profile connects the 2 model and dataset records shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.

Published tasks: Zero shot image classification.

Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.

Models

Model · Zero shot image classification

clip-vit-base-patch16

Dang Quoc Dung

https://huggingface.co/openai/clip-vit-base-patch16 with ONNX weights to be compatible with Transformers.js. If you haven't already, you can install the Transformers.js JavaScript library from NPM using: Example: Perform zero-shot image classification with the pipeline API. Example: Compute vision embeddings with CLIPVisionModelWithProjection. Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named onnx).

Open weights 77 tokens transformers.js

Datasets