Instructions to use csebuetnlp/banglabert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use csebuetnlp/banglabert with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("csebuetnlp/banglabert") model = AutoModelForPreTraining.from_pretrained("csebuetnlp/banglabert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from csebuetnlp/banglabert: direct link, hf CLI and curl.
- Browser
- Download file 443 MB
-
https://huggingface.co/csebuetnlp/banglabert/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://csebuetnlp/banglabert/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/csebuetnlp/banglabert/resolve/main/pytorch_model.bin
443 MB
- Xet hash:
- a8bc76140041dd8f7a3fb01d04918cbe30e86bd904ffbc755b95a7124f4131a4
- Size of remote file:
- 443 MB
- SHA256:
- 9d33f519f42705d54e65fc1601644a6f4562c3462f96943b32b4184536130f98
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