Instructions to use Migga/ViTBERT_V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Migga/ViTBERT_V2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Migga/ViTBERT_V2")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("Migga/ViTBERT_V2") model = AutoModel.from_pretrained("Migga/ViTBERT_V2") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoProcessor, AutoModel
processor = AutoProcessor.from_pretrained("Migga/ViTBERT_V2")
model = AutoModel.from_pretrained("Migga/ViTBERT_V2")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Migga/ViTBERT_V2")