Instructions to use AIStudioGPT/bert_based_uncased_hate_speech_recognizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AIStudioGPT/bert_based_uncased_hate_speech_recognizer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AIStudioGPT/bert_based_uncased_hate_speech_recognizer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AIStudioGPT/bert_based_uncased_hate_speech_recognizer") model = AutoModelForSequenceClassification.from_pretrained("AIStudioGPT/bert_based_uncased_hate_speech_recognizer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 57a7f9e531723d7628f12601fce7cb0a75647ac4953b4b724f86a9f075aa737f
- Size of remote file:
- 442 MB
- SHA256:
- be41b6be36443ac735f9cc8709158817b35eabb72d9a534e41633cf7d0d593fa
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