Instructions to use Milanmg/Bert-Nepali with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Milanmg/Bert-Nepali with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Milanmg/Bert-Nepali")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Milanmg/Bert-Nepali") model = AutoModelForMaskedLM.from_pretrained("Milanmg/Bert-Nepali") - Notebooks
- Google Colab
- Kaggle
Upload tf_model.h5
Browse files- tf_model.h5 +3 -0
tf_model.h5
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version https://git-lfs.github.com/spec/v1
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size 533687680
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