Instructions to use pmorelr/layoutlm-doclaynet-binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pmorelr/layoutlm-doclaynet-binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="pmorelr/layoutlm-doclaynet-binary")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("pmorelr/layoutlm-doclaynet-binary") model = AutoModelForTokenClassification.from_pretrained("pmorelr/layoutlm-doclaynet-binary") - Notebooks
- Google Colab
- Kaggle
layoutlm-doclaynet-binary / logs /1679278046.6665673 /events.out.tfevents.1679278046.instance-1.32564.1
- Xet hash:
- 0690445f310ca24c0bf3841960e2485f70981900fa55167783e646bd9a48f8d4
- Size of remote file:
- 5.74 kB
- SHA256:
- cb8bc3234dcc547565012abe17e5df63fb85fc099cbe5546d58c81768e1709f3
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