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UCSC-VLAA
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openvision-vit-tiny-patch8-384

Image Feature Extraction
Transformers
OpenCLIP
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How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-feature-extraction", model="UCSC-VLAA/openvision-vit-tiny-patch8-384")
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("UCSC-VLAA/openvision-vit-tiny-patch8-384", dtype="auto")
Quick Links

This repository contains the model presented in OpenVision: A Fully-Open, Cost-Effective Family of Advanced Vision Encoders for Multimodal Learning.

Project page: https://ucsc-vlaa.github.io/OpenVision

Code: https://github.com/UCSC-VLAA/OpenVision

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Collection including UCSC-VLAA/openvision-vit-tiny-patch8-384

Paper for UCSC-VLAA/openvision-vit-tiny-patch8-384