Instructions to use poooj/MPNetHateSpeechClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use poooj/MPNetHateSpeechClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="poooj/MPNetHateSpeechClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("poooj/MPNetHateSpeechClassification") model = AutoModelForSequenceClassification.from_pretrained("poooj/MPNetHateSpeechClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3d3ecebaf3f654e613a4ecf2c3f2b6b88000c4d0d014207dfc774833c079cdb7
- Size of remote file:
- 438 MB
- SHA256:
- d4dd44a5afce20203578eeb07ea750ba9cca02b0fcf1bca1432ff1ce37eab8f7
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