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:
- dada8904cbda05f1578dec14d5623292b243f95fcfd8cf1871aa5d25b2e4a30f
- Size of remote file:
- 5.56 kB
- SHA256:
- 7df204a05515184b87a2efd1d42f8a77d989a75ce42baa71836949f68b3b697e
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