Instructions to use hmbert/flair-icdar-nl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use hmbert/flair-icdar-nl with Flair:
from flair.models import SequenceTagger tagger = SequenceTagger.load("hmbert/flair-icdar-nl") - Notebooks
- Google Colab
- Kaggle
readme: update TensorBoard info
Browse filesUnfortunately, TensorBoard logs are not available for hmBERT based models.
README.md
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@@ -61,7 +61,7 @@ And report micro F1-score on development set:
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[19]: https://hf.co/hmbench/hmbench-icdar-nl-hmbert-bs4-wsFalse-e10-lr3e-05-poolingfirst-layers-1-crfFalse-4
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[20]: https://hf.co/hmbench/hmbench-icdar-nl-hmbert-bs4-wsFalse-e10-lr3e-05-poolingfirst-layers-1-crfFalse-5
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The [training log](training.log) and TensorBoard logs are also uploaded to the model hub.
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More information about fine-tuning can be found [here](https://github.com/stefan-it/hmBench).
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[19]: https://hf.co/hmbench/hmbench-icdar-nl-hmbert-bs4-wsFalse-e10-lr3e-05-poolingfirst-layers-1-crfFalse-4
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[20]: https://hf.co/hmbench/hmbench-icdar-nl-hmbert-bs4-wsFalse-e10-lr3e-05-poolingfirst-layers-1-crfFalse-5
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The [training log](training.log) and TensorBoard logs (only for hmByT5 and hmTEAMS based models) are also uploaded to the model hub.
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More information about fine-tuning can be found [here](https://github.com/stefan-it/hmBench).
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