Instructions to use Unggi/hate_speech_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Unggi/hate_speech_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Unggi/hate_speech_bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Unggi/hate_speech_bert") model = AutoModelForSequenceClassification.from_pretrained("Unggi/hate_speech_bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 513 Bytes
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"pad_token": "[PAD]",
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"special_tokens_map_file": "/root/.cache/huggingface/hub/models--beomi--kobert/snapshots/372ec671481c751af771f28c6f191d420d1a1d86/special_tokens_map.json",
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"tokenize_chinese_chars": true,
"tokenizer_class": "BertTokenizer",
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