Instructions to use csebuetnlp/banglabert_generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use csebuetnlp/banglabert_generator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="csebuetnlp/banglabert_generator")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("csebuetnlp/banglabert_generator") model = AutoModelForMaskedLM.from_pretrained("csebuetnlp/banglabert_generator") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e47a691856574feabca4bc5ed9c0832139c5732f7c34c2c38bdee2747ec8794
- Size of remote file:
- 140 MB
- SHA256:
- 59dc018671084156061ba6fd4316ac1217977bb02cf7e36138a8048fda54d5ca
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