Instructions to use AntonioTH/Layout-finetuned-fr-model-107instances107-150epochs-5e-05lr-GPU with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AntonioTH/Layout-finetuned-fr-model-107instances107-150epochs-5e-05lr-GPU with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="AntonioTH/Layout-finetuned-fr-model-107instances107-150epochs-5e-05lr-GPU")# Load model directly from transformers import AutoProcessor, AutoModelForDocumentQuestionAnswering processor = AutoProcessor.from_pretrained("AntonioTH/Layout-finetuned-fr-model-107instances107-150epochs-5e-05lr-GPU") model = AutoModelForDocumentQuestionAnswering.from_pretrained("AntonioTH/Layout-finetuned-fr-model-107instances107-150epochs-5e-05lr-GPU") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 031ba03f4440e23dac35e1b9afc393490bf57f5490ca0958ac7dad0627e9aac1
- Size of remote file:
- 1.48 GB
- SHA256:
- 2210c923ea8d7eba31e1e4d5ef453ae24ad6705137f24c65a8feec0dc183049b
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