Instructions to use Migga/ViTBERT_V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Migga/ViTBERT_V1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Migga/ViTBERT_V1")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("Migga/ViTBERT_V1") model = AutoModel.from_pretrained("Migga/ViTBERT_V1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download ViTBERT_V1.csv from Migga/ViTBERT_V1: direct link, hf CLI and curl.
- Browser
- Download file 60.6 kB
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https://huggingface.co/Migga/ViTBERT_V1/resolve/refs%2Fpr%2F1/ViTBERT_V1.csv
- Command line
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hf download hf://Migga/ViTBERT_V1@refs/pr/1/ViTBERT_V1.csv
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curl -L -o ViTBERT_V1.csv https://huggingface.co/Migga/ViTBERT_V1/resolve/refs%2Fpr%2F1/ViTBERT_V1.csv
60.6 kB
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