Instructions to use agiagoulas/bert-pss with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use agiagoulas/bert-pss with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="agiagoulas/bert-pss")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("agiagoulas/bert-pss") model = AutoModelForSequenceClassification.from_pretrained("agiagoulas/bert-pss") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
bert-base-uncased model trained on the tobacco800 dataset for the task of page-stream-segmentation.
Link to the GitHub Repo with the model implementation.
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