timm
/

Image Classification
timm
PyTorch
Safetensors
Transformers
nielsr HF Staff commited on
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Improve model card

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This PR improves the model card by adding the pipeline tag and updating the paper link and bibtex citation.

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  1. README.md +13 -10
README.md CHANGED
@@ -1,13 +1,15 @@
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  ---
 
 
 
 
 
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  tags:
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  - image-classification
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  - timm
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  - transformers
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- library_name: timm
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- license: apache-2.0
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- datasets:
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- - imagenet-1k
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  ---
 
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  # Model card for inception_next_atto.sail_in1k
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  A InceptionNeXt image classification model. Trained on ImageNet-1k by paper authors.
@@ -20,7 +22,7 @@ A InceptionNeXt image classification model. Trained on ImageNet-1k by paper auth
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  - Activations (M): 3.6
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  - Image size: 224 x 224
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  - **Papers:**
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- - InceptionNeXt: When Inception Meets ConvNeXt: https://arxiv.org/abs/2303.16900
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  - **Original:** https://github.com/sail-sg/inceptionnext
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  - **Dataset:** ImageNet-1k
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@@ -115,10 +117,11 @@ output = model.forward_head(output, pre_logits=True)
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  ## Citation
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  ```bibtex
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- @article{yu2023inceptionnext,
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- title={InceptionNeXt: when inception meets convnext},
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  author={Yu, Weihao and Zhou, Pan and Yan, Shuicheng and Wang, Xinchao},
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- journal={arXiv preprint arXiv:2303.16900},
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- year={2023}
 
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  }
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- ```
 
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  ---
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+ datasets:
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+ - imagenet-1k
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+ library_name: timm
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+ license: apache-2.0
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+ pipeline_tag: image-classification
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  tags:
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  - image-classification
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  - timm
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  - transformers
 
 
 
 
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  ---
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+
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  # Model card for inception_next_atto.sail_in1k
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  A InceptionNeXt image classification model. Trained on ImageNet-1k by paper authors.
 
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  - Activations (M): 3.6
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  - Image size: 224 x 224
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  - **Papers:**
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+ - InceptionNeXt: When Inception Meets ConvNeXt: https://huggingface.co/papers/2303.16900
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  - **Original:** https://github.com/sail-sg/inceptionnext
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  - **Dataset:** ImageNet-1k
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  ## Citation
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  ```bibtex
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+ @inproceedings{yu2024inceptionnext,
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+ title={Inceptionnext: When inception meets convnext},
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  author={Yu, Weihao and Zhou, Pan and Yan, Shuicheng and Wang, Xinchao},
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+ booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
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+ pages={5672--5683},
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+ year={2024}
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  }
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+ ```