Instructions to use tomh/toxigen_hatebert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tomh/toxigen_hatebert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tomh/toxigen_hatebert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tomh/toxigen_hatebert") model = AutoModelForSequenceClassification.from_pretrained("tomh/toxigen_hatebert") - Notebooks
- Google Colab
- Kaggle
add model
Browse files- config.json +1 -1
config.json
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{
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"_name_or_path": "
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"_num_labels": 2,
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"architectures": [
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"BertForSequenceClassification"
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{
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"_name_or_path": "/Users/tom/Downloads/HateBERT_offenseval/pytorch_model.bin",
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"_num_labels": 2,
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"architectures": [
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"BertForSequenceClassification"
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