Instructions to use csebuetnlp/banglishbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use csebuetnlp/banglishbert with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("csebuetnlp/banglishbert") model = AutoModelForPreTraining.from_pretrained("csebuetnlp/banglishbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 513be6d17a1f025cf021dc590c3233c7bd1db45ff9fd9592655edb3174bf46c8
- Size of remote file:
- 443 MB
- SHA256:
- 5025796c2b863a38a8cb8d94bc321a42cfb4bd3f89a0912ac901e5084a4605ef
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