Instructions to use mwalmsley/zoobot-encoder-convnext_nano with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use mwalmsley/zoobot-encoder-convnext_nano with timm:
import timm model = timm.create_model("hf_hub:mwalmsley/zoobot-encoder-convnext_nano", pretrained=True) - Notebooks
- Google Colab
- Kaggle
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README.md
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- timm
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library_name: timm
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license: apache-2.0
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---
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# Model card for zoobot-encoder-convnext_nano
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import timm
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encoder = timm.create_model('hf_hub:mwalmsley/zoobot-encoder-some-name', pretrained=True, num_classes=0)
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```
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- timm
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library_name: timm
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license: apache-2.0
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base_model:
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- timm/convnext_nano.in12k
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---
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# Model card for zoobot-encoder-convnext_nano
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import timm
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encoder = timm.create_model('hf_hub:mwalmsley/zoobot-encoder-some-name', pretrained=True, num_classes=0)
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```
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