Instructions to use nvidia/MambaVision-L-1K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nvidia/MambaVision-L-1K with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="nvidia/MambaVision-L-1K", trust_remote_code=True) pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModelForImageClassification model = AutoModelForImageClassification.from_pretrained("nvidia/MambaVision-L-1K", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update modeling_mambavision.py
Browse files- modeling_mambavision.py +1 -1
modeling_mambavision.py
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from transformers import PreTrainedModel
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from configuration_mambavision import MambaVisionConfig
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def _cfg(url='', **kwargs):
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from transformers import PreTrainedModel
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from .configuration_mambavision import MambaVisionConfig
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def _cfg(url='', **kwargs):
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