How to use UCSC-VLAA/openvision-vit-base-patch8-384 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="UCSC-VLAA/openvision-vit-base-patch8-384")
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("UCSC-VLAA/openvision-vit-base-patch8-384", device_map="auto")
https://huggingface.co/UCSC-VLAA/openvision-vit-base-patch8-384/resolve/refs%2Fpr%2F1/tokenizer.json
hf download hf://UCSC-VLAA/openvision-vit-base-patch8-384@refs/pr/1/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/UCSC-VLAA/openvision-vit-base-patch8-384/resolve/refs%2Fpr%2F1/tokenizer.json
