Instructions to use nvidia/MambaVision-T-1K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nvidia/MambaVision-T-1K with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="nvidia/MambaVision-T-1K", trust_remote_code=True) pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForImageClassification model = AutoModelForImageClassification.from_pretrained("nvidia/MambaVision-T-1K", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +0 -1
config.json
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"drop_path_rate": 0.2,
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"in_dim": 32,
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"mlp_ratio": 4,
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"model_type": "mamba_vision_T",
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"num_heads": [
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"drop_path_rate": 0.2,
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"in_dim": 32,
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"mlp_ratio": 4,
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"num_heads": [
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