Instructions to use davanstrien/convnext_manuscript_iiif with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davanstrien/convnext_manuscript_iiif with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="davanstrien/convnext_manuscript_iiif") 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_manuscript_iiif") model = AutoModelForImageClassification.from_pretrained("davanstrien/convnext_manuscript_iiif") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): e2e5225
Librarian Bot: Add base_model information to model
Browse filesThis is a pull request to add `facebook/convnext-base-224-22k` as a `base_model` field to the metadata for your model (defined in the `YAML` block of your model's `README.md`).
This information was found in the model card by doing a regular expression match on your model's `README.md` file.
Adding this information to your models metadata will allow users to find your model when searching for models based on a specific model and make it easier to discover the links between different models on the hub.
This PR was made by Librarian Bot. Feel free to get in touch with @davanstrien ](https://huggingface.co/davanstrien) with feedback or questions.
README.md
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- generated_from_trainer
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metrics:
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- f1
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model-index:
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- name: convnext_manuscript_iiif
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results: []
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- generated_from_trainer
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metrics:
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- f1
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base_model: facebook/convnext-base-224-22k
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model-index:
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- name: convnext_manuscript_iiif
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results: []
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