Instructions to use purna419/invoice-parser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use purna419/invoice-parser 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="purna419/invoice-parser")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("purna419/invoice-parser") model = AutoModelForImageTextToText.from_pretrained("purna419/invoice-parser") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b2b7a7c615eac40d337855ced4dff9c579cd5d1c0c7feca72b5a829e74026ac
- Size of remote file:
- 809 MB
- SHA256:
- ee493c538d5ca31b1456a7364b2281d0037eb76339f9bb67932fbc75e3ced7fe
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