Instructions to use UCSC-VLAA/openvision-vit-large-patch14-336 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UCSC-VLAA/openvision-vit-large-patch14-336 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="UCSC-VLAA/openvision-vit-large-patch14-336")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("UCSC-VLAA/openvision-vit-large-patch14-336", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
cb6497c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:15bef61373e9541d7195885a2377b692ebef120df8e8838c771072ef9c445198
size 1658449530
|