Instructions to use mwalmsley/zoobot-encoder-convnext_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use mwalmsley/zoobot-encoder-convnext_large with timm:
import timm model = timm.create_model("hf_hub:mwalmsley/zoobot-encoder-convnext_large", pretrained=True) - Notebooks
- Google Colab
- Kaggle
metadata
tags:
- image-classification
- timm
library_name: timm
license: apache-2.0
Model card for zoobot-encoder-convnext_large
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)