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
File size: 375 Bytes
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license: apache-2.0
tags:
- vision
- image-classification
datasets:
- iloncka/mosal
---
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).
Note that [safetensors] model requires torch 2.0 environment and fastai.
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