Instructions to use aniketmaurya/receipt-model-2025 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aniketmaurya/receipt-model-2025 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="aniketmaurya/receipt-model-2025")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("aniketmaurya/receipt-model-2025", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 03c277c707ab577a64b40ae194407eb6a33e962c2438f1be3217f2dbaa0c82f1
- Size of remote file:
- 7.75 MB
- SHA256:
- a6f723ccdbcc08e761e5032746e189f4b3f332eeb14965d5db9e7eadcc13cd5a
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