Fill-Mask
Transformers
TensorFlow
Nepali
distilbert
generated_from_keras_callback
Eval Results (legacy)
Instructions to use raygx/distilBERT-Nepali with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raygx/distilBERT-Nepali with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="raygx/distilBERT-Nepali")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("raygx/distilBERT-Nepali") model = AutoModelForMaskedLM.from_pretrained("raygx/distilBERT-Nepali") - Notebooks
- Google Colab
- Kaggle
Ctrl+K