Instructions to use mono80/NERToxicBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mono80/NERToxicBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mono80/NERToxicBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mono80/NERToxicBERT") model = AutoModelForTokenClassification.from_pretrained("mono80/NERToxicBERT") - Notebooks
- Google Colab
- Kaggle
Upload README.md
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README.md
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# Training
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For the training a dataset of 4500 comments german comments label on toxicity was used.
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This dataset is not publicly available, but can be requested form TU-Wien (
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## Data preparation
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# Training
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For the training a dataset of 4500 comments german comments label on toxicity was used.
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This dataset is not publicly available, but can be requested form TU-Wien (https://doi.org/10.5281/zenodo.10996203).
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## Data preparation
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