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:
- adb2ec5d25e7212b3ddf2cdb90e83f3c39589dae12269cb5b7edca92ad1d48dc
- Size of remote file:
- 557 MB
- SHA256:
- 030f53d3b491e8a6a071c81ec161737a3735f10e846ddc1dd908022036df7a67
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