Text Classification
Transformers
Safetensors
Burmese
bert
burmese
myanmar
register-classification
formal-vs-spoken
style-detection
Eval Results (legacy)
Instructions to use kalixlouiis/mBERT-Burmese-Register-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kalixlouiis/mBERT-Burmese-Register-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kalixlouiis/mBERT-Burmese-Register-Classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kalixlouiis/mBERT-Burmese-Register-Classifier") model = AutoModelForSequenceClassification.from_pretrained("kalixlouiis/mBERT-Burmese-Register-Classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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