Instructions to use fedihch/InvoiceReceiptClassifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fedihch/InvoiceReceiptClassifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="fedihch/InvoiceReceiptClassifier") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("fedihch/InvoiceReceiptClassifier") model = AutoModelForSequenceClassification.from_pretrained("fedihch/InvoiceReceiptClassifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b31920e657c012beca6d7a30c7b493cd416f4487037abc7fb9a19be9d00a4ed
- Size of remote file:
- 802 MB
- SHA256:
- 6d45991ede3bfd8f8299df77171e8023442be811d352692839075ce1321f229b
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