Instructions to use mwalmsley/baseline-encoder-classification-maxvit_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use mwalmsley/baseline-encoder-classification-maxvit_base with timm:
import timm model = timm.create_model("hf_hub:mwalmsley/baseline-encoder-classification-maxvit_base", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d96975f5a4b434f4e368997cb755d7df1ed52b9089da2a54689830af28ee04d8
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size 462158608
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