Instructions to use nikesh66/Hatespeech-Detection-using-BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nikesh66/Hatespeech-Detection-using-BERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nikesh66/Hatespeech-Detection-using-BERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nikesh66/Hatespeech-Detection-using-BERT") model = AutoModelForSequenceClassification.from_pretrained("nikesh66/Hatespeech-Detection-using-BERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +2 -2
config.json
CHANGED
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@@ -25,8 +25,8 @@
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"use_cache": true,
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"vocab_size": 28996,
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"id2label": {
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"0": "
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"1": "
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},
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"_num_labels": 2
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}
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"use_cache": true,
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"vocab_size": 28996,
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"id2label": {
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+
"0": "Not Hate Speech",
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"1": "Hate Speech"
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},
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"_num_labels": 2
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}
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