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:
- 05ed742cd8a3f402a811da54882ca9c59e89bd17508f41c1c5d200e373e0efb3
- Size of remote file:
- 658 MB
- SHA256:
- 8a6981e47aa4e08781b0582e69c4d6b3ed0a487e5afda2107b480b57880826ce
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