Instructions to use PRAJWAL23/Invoice-table-crop-model_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PRAJWAL23/Invoice-table-crop-model_finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="PRAJWAL23/Invoice-table-crop-model_finetuned")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("PRAJWAL23/Invoice-table-crop-model_finetuned") model = AutoModelForObjectDetection.from_pretrained("PRAJWAL23/Invoice-table-crop-model_finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d46fec2f58a20f44e15786cb748d375e9ab6fd8389288f7af032cca073f56136
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size 166503728
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