Instructions to use Prazzwal07/nepberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Prazzwal07/nepberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Prazzwal07/nepberta")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Prazzwal07/nepberta") model = AutoModelForMaskedLM.from_pretrained("Prazzwal07/nepberta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52c3bbed6f82d70642f827cecec46f9769554ef42895fcd37846e933a3dbf5ad
- Size of remote file:
- 438 MB
- SHA256:
- f22ce569c2dc833979dca79a10d092acb63819f4e981a72f265fe9c093ac123b
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