Instructions to use msbshamim/bangla-mobile-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use msbshamim/bangla-mobile-bert with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("msbshamim/bangla-mobile-bert") model = AutoModelForPreTraining.from_pretrained("msbshamim/bangla-mobile-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from msbshamim/bangla-mobile-bert: direct link, hf CLI and curl.
- Browser
- Download file 147 MB
-
https://huggingface.co/msbshamim/bangla-mobile-bert/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://msbshamim/bangla-mobile-bert/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/msbshamim/bangla-mobile-bert/resolve/main/pytorch_model.bin
147 MB
- Xet hash:
- 3a805d23db00286793b83bd2612d46788ac7abea0726df86f87225c4dd2e500b
- Size of remote file:
- 147 MB
- SHA256:
- a6db0a3c0f2d2c93beb10bfec25639ac0b5101c8ade2ba3656eb880912595199
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