Instructions to use Sakonii/deberta-base-nepali with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sakonii/deberta-base-nepali with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Sakonii/deberta-base-nepali")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Sakonii/deberta-base-nepali") model = AutoModelForMaskedLM.from_pretrained("Sakonii/deberta-base-nepali", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7108d119b5127c6248bf2bc2fc63f22549611b5239324dab599b77bec2530fe5
- Size of remote file:
- 3.18 kB
- SHA256:
- 0c46e12bc22aa7e4597d0fb573eb63e7ff050fb56dadcb3d76ca7206b396df60
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