Instructions to use KETI-NLP/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-NLP/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-NLP/vit-patch16-384-roberta-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("KETI-NLP/vit-patch16-384-roberta-base") model = AutoModel.from_pretrained("KETI-NLP/vit-patch16-384-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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