Image Classification
Transformers
PyTorch
TensorBoard
Safetensors
convnext
vision
Generated from Trainer
Eval Results (legacy)
Instructions to use davanstrien/convnext-tiny-224-wikiart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davanstrien/convnext-tiny-224-wikiart with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="davanstrien/convnext-tiny-224-wikiart") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("davanstrien/convnext-tiny-224-wikiart") model = AutoModelForImageClassification.from_pretrained("davanstrien/convnext-tiny-224-wikiart") - Notebooks
- Google Colab
- Kaggle
Commit ·
ba6b504
1
Parent(s): feab045
Librarian Bot: Add base_model information to model (#2)
Browse files- Librarian Bot: Add base_model information to model (db5a76091c4fb8ea18443e13e77f028e642a6854)
Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>
README.md
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@@ -8,12 +8,13 @@ datasets:
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- wiki_art
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metrics:
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- accuracy
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model-index:
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- name: convnext-tiny-224-wikiart
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results:
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- task:
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name: Image Classification
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type: image-classification
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dataset:
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name: huggan/wikiart
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type: wiki_art
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split: train
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args: default
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metrics:
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type: accuracy
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value: 0.7140050748956372
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- wiki_art
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metrics:
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- accuracy
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base_model: facebook/convnext-tiny-224
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model-index:
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- name: convnext-tiny-224-wikiart
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results:
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- task:
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type: image-classification
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name: Image Classification
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dataset:
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name: huggan/wikiart
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type: wiki_art
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split: train
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args: default
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metrics:
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- type: accuracy
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value: 0.7140050748956372
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name: Accuracy
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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