Instructions to use karakaka/segmentation-pydec-segmenter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karakaka/segmentation-pydec-segmenter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="karakaka/segmentation-pydec-segmenter")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("karakaka/segmentation-pydec-segmenter") model = AutoModelForTokenClassification.from_pretrained("karakaka/segmentation-pydec-segmenter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Trained on karakaka/segmentation-pydec-dataset-tokenized using karakaka/segmentation-pydec-mlm
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Model save
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Training in progress, epoch 2
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Training in progress, epoch 2
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Training in progress, epoch 1
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Trained on karakaka/segmentation-pydec-dataset-tokenized using karakaka/segmentation-pydec-mlm
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Model save
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Training in progress, epoch 2
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Training in progress, epoch 1
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initial commit
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