Instructions to use lisagrace/hate_speech_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lisagrace/hate_speech_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lisagrace/hate_speech_bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lisagrace/hate_speech_bert") model = AutoModelForSequenceClassification.from_pretrained("lisagrace/hate_speech_bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d14a151f522bf8f9c48ca473de2db18d101172fd2913e2b0043cffe35edd9987
- Size of remote file:
- 4.54 kB
- SHA256:
- 6ff25ce35ad8b9002b36b71790b4e7dce3dab6ff3ff9b495637047e3021cd418
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