Instructions to use oya163/NepBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oya163/NepBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="oya163/NepBERT")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("oya163/NepBERT") model = AutoModel.from_pretrained("oya163/NepBERT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eca2dfbe8a3616c85f8e2da0f4d106fe27892ee0887b70c31bd647fca6937ec3
- Size of remote file:
- 334 MB
- SHA256:
- 83bb66b5befed7379e6497960898352dcf64925acc67b12c0a1639005034ab03
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