Text Classification
Transformers
Safetensors
Hindi
English
modernbert
multi-label-classification
toxicity
hinglish
mmbert
content-moderation
text-embeddings-inference
Instructions to use darelphilip/hinglisToxicity_darel_mmberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use darelphilip/hinglisToxicity_darel_mmberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="darelphilip/hinglisToxicity_darel_mmberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("darelphilip/hinglisToxicity_darel_mmberta") model = AutoModelForSequenceClassification.from_pretrained("darelphilip/hinglisToxicity_darel_mmberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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