Instructions to use iloncka/vit_tiny_patch16_224_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastai
How to use iloncka/vit_tiny_patch16_224_2 with fastai:
from huggingface_hub import from_pretrained_fastai learn = from_pretrained_fastai("iloncka/vit_tiny_patch16_224_2") - timm
How to use iloncka/vit_tiny_patch16_224_2 with timm:
import timm model = timm.create_model("hf_hub:iloncka/vit_tiny_patch16_224_2", pretrained=True) - Notebooks
- Google Colab
- Kaggle
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- image-classification
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datasets:
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- iloncka/mosal
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Finetuned from the weights from the [timm repository](https://github.com/rwightman/pytorch-image-models). This model is used in the same way as [ViT-base](https://huggingface.co/google/vit-base-patch16-224).
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Note that [safetensors] model requires torch 2.0 environment and fastai.
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- image-classification
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datasets:
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- iloncka/mosal
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library_name: fastai
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Finetuned from the weights from the [timm repository](https://github.com/rwightman/pytorch-image-models). This model is used in the same way as [ViT-base](https://huggingface.co/google/vit-base-patch16-224).
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Note that [safetensors] model requires torch 2.0 environment and fastai.
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