Instructions to use csebuetnlp/banglabert_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use csebuetnlp/banglabert_small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("csebuetnlp/banglabert_small") model = AutoModelForPreTraining.from_pretrained("csebuetnlp/banglabert_small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 376fa3d0d6badefce9b6879fab6a07c36164b0cabff13ada174b3c64957bd9f0
- Size of remote file:
- 55 MB
- SHA256:
- 6e48df37716c22a358ab1b27978cfed379eac698cdb4ecbe2f1a3e765831e360
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