Instructions to use MarieRoald/DeepLearn24OCRChallenge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MarieRoald/DeepLearn24OCRChallenge with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("image-to-text", model="MarieRoald/DeepLearn24OCRChallenge")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("MarieRoald/DeepLearn24OCRChallenge") model = AutoModelForImageTextToText.from_pretrained("MarieRoald/DeepLearn24OCRChallenge") - Notebooks
- Google Colab
- Kaggle
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## Model Details
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### Model Description
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This is a model fine-tuned as part of the DeepLearn24 NLPRenaissanceChallenge Hackaton. You can read more about it [here](https://colab.research.google.com/drive/1965CaHaNlMLosCKp-cCW7axqoZUn7RaL?usp=sharing)
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The model is based on [trocr-large-spanish](https://huggingface.co/qantev/trocr-large-spanish) and finetuned on the data provided as part of the hackaton.
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## Model Details
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### Model Description
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