Instructions to use Pablogps/castle-classifier-24 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastai
How to use Pablogps/castle-classifier-24 with fastai:
from huggingface_hub import from_pretrained_fastai learn = from_pretrained_fastai("Pablogps/castle-classifier-24") - Notebooks
- Google Colab
- Kaggle
Update README.md
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tags:
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- fastai
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---
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🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
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# Some next steps
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1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
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2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([documentation here](https://huggingface.co/docs/hub/spaces)).
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3. Join the fastai community on the [Fastai Discord](https://discord.com/invite/YKrxeNn)!
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Greetings fellow fastlearner 🤝! Don't forget to delete this content from your model card.
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# Model card
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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tags:
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license: apache-2.0
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base_model:
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- timm/mobilenetv2_100.ra_in1k
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pipeline_tag: image-classification
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This is just a very fast model created for educational purposes. Its goal is to classify images of castles, where the training set contains categories "spain", "france", and "japan". Images come from Duck Duck Go image search, using "castle interior"/"castle exterior" as suffix.
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