Instructions to use sagorsarker/bangla-bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sagorsarker/bangla-bert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="sagorsarker/bangla-bert-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("sagorsarker/bangla-bert-base") model = AutoModelForMaskedLM.from_pretrained("sagorsarker/bangla-bert-base") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd17465989dcf217e28da4fa19ccf8f6caed6eefea4a22e7d8478d5f5f7ec754
- Size of remote file:
- 660 MB
- SHA256:
- f19429e5ec01b7114514296bee2fbede0ce33d7ea13d58ee0265c6721a8ed21e
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