Instructions to use Hate-speech-CNERG/urdu-codemixed-abusive-MuRIL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hate-speech-CNERG/urdu-codemixed-abusive-MuRIL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Hate-speech-CNERG/urdu-codemixed-abusive-MuRIL")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Hate-speech-CNERG/urdu-codemixed-abusive-MuRIL") model = AutoModelForSequenceClassification.from_pretrained("Hate-speech-CNERG/urdu-codemixed-abusive-MuRIL") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eead036009cd794cd7999d0a37194e713d0086ebfa19f133c49f2106a8f25553
- Size of remote file:
- 950 MB
- SHA256:
- e3a7f987aaabff166a2e04e11d2c1f9c33ad05e9b6798eaa55cb9d154c8a2694
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