Instructions to use KamilaMila/mvitv2-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KamilaMila/mvitv2-tiny with Transformers:
# Load model directly from transformers import MViTV2ForImageClassification model = MViTV2ForImageClassification.from_pretrained("KamilaMila/mvitv2-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload MViTV2ForImageClassification
Browse files- config.json +0 -1
config.json
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"MViTV2ForImageClassification"
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"attention_pool_first": false,
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"classifier_hidden_size": 768,
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"depths": [
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"MViTV2ForImageClassification"
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"attention_pool_first": false,
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"depths": [
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