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")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("Migga/ViTBERT_V2") model = AutoModel.from_pretrained("Migga/ViTBERT_V2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download ViTBERT_V2.csv from Migga/ViTBERT_V2: direct link, hf CLI and curl.
- Browser
- Download file 49.9 kB
-
https://huggingface.co/Migga/ViTBERT_V2/resolve/main/ViTBERT_V2.csv
- Command line
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hf download hf://Migga/ViTBERT_V2/ViTBERT_V2.csv
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curl -L -o ViTBERT_V2.csv https://huggingface.co/Migga/ViTBERT_V2/resolve/main/ViTBERT_V2.csv
49.9 kB
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