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")# pip install -U transformers accelerate # 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
Commit History
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Update README.md
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Adding `safetensors` variant of this model (#2)
- Adding `safetensors` variant of this model (a5251f663e0e64984a307ea62e0104757eabc799) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>865fdf4
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Librarian Bot: Update dataset YAML metadata for model (#1)
- Librarian Bot: Update dataset YAML metadata for model (1cdf0991abda87ec999d729e102c1137ca56e668) Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>49ae457
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Training in progress, epoch 5
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