Text Classification
Transformers
Safetensors
distilbert
profanity-detection
content-moderation
malayalam
indic
text-embeddings-inference
Instructions to use mangalathkedar/profanity-detector-distilbert-multilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mangalathkedar/profanity-detector-distilbert-multilingual with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mangalathkedar/profanity-detector-distilbert-multilingual")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mangalathkedar/profanity-detector-distilbert-multilingual") model = AutoModelForSequenceClassification.from_pretrained("mangalathkedar/profanity-detector-distilbert-multilingual", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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