Instructions to use Aika-fr/layoutlmv3_isolant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aika-fr/layoutlmv3_isolant with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Aika-fr/layoutlmv3_isolant")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("Aika-fr/layoutlmv3_isolant") model = AutoModelForTokenClassification.from_pretrained("Aika-fr/layoutlmv3_isolant") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac55b7b482187563acae38e8afccbe1fc85d885432ad097e09f2e46ad89700c2
- Size of remote file:
- 504 MB
- SHA256:
- 2bf3368964685f05b86de541bd57fef0bb22eb1069c2f00b64c57273f40f3dc5
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