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zoobot-encoder-tf_efficientnetv2_s
mwalmsley/zoobot-encoder-tf_efficientnetv2_s
zoobot-encoder-tf_efficientnetv2_s is a image classification model from mwalmsley. Use it when you need a label for an image. It is set up for timm. The card lists the license as apache-2.0.
Please see the Zoobot docs for loading and finetuning instructions.
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At a glance
- Task
- Image Classification
- Library
- timm
- License
- apache-2.0
- Access
- Public
- Created
- Mar 19, 2024
- Updated
- Apr 4, 2024
- SHA
- 0e922b8e
Model card
From the Hugging Face model README
Model card for zoobot-encoder-tf_efficientnetv2_s
Please see the Zoobot docs for loading and finetuning instructions.
But minimally, you can use this like any timm encoder:
import timm
encoder = timm.create_model('hf_hub:mwalmsley/zoobot-encoder-some-name', pretrained=True, num_classes=0)
- Task
- Image Classification
- Library
- timm
- License
- apache-2.0
- Created
- Mar 19, 2024
- Updated
- Apr 4, 2024