Instructions to use UDHOV/mbert-nepali-hate-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UDHOV/mbert-nepali-hate-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="UDHOV/mbert-nepali-hate-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("UDHOV/mbert-nepali-hate-classification") model = AutoModelForSequenceClassification.from_pretrained("UDHOV/mbert-nepali-hate-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload mbert_val_cm.png with huggingface_hub
Browse files- mbert_val_cm.png +2 -2
mbert_val_cm.png
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