Instructions to use Sakonii/distilbert-base-nepali with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sakonii/distilbert-base-nepali with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Sakonii/distilbert-base-nepali")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Sakonii/distilbert-base-nepali") model = AutoModelForMaskedLM.from_pretrained("Sakonii/distilbert-base-nepali") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a3abc37f5fa41ace496c98c1df2ffea390a9dacd0aaa0890b4bc642e4e99558
- Size of remote file:
- 3.06 kB
- SHA256:
- 64deabdae4f5dcc5fda90bdf73caae56db6fa6be8fb02ff20be11df92f523d99
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