Instructions to use KETI-AIR/vit-patch16-384-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KETI-AIR/vit-patch16-384-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="KETI-AIR/vit-patch16-384-roberta-base")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("KETI-AIR/vit-patch16-384-roberta-base") model = AutoModel.from_pretrained("KETI-AIR/vit-patch16-384-roberta-base") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2668b3000285c658b07f4a41927e8c059537ee7c4b9368cd6e9c0fa08db0c562
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size 848506804
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