Instructions to use nhrony/bert-bn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nhrony/bert-bn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nhrony/bert-bn")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nhrony/bert-bn") model = AutoModelForMaskedLM.from_pretrained("nhrony/bert-bn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from nhrony/bert-bn: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/nhrony/bert-bn/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://nhrony/bert-bn/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/nhrony/bert-bn/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- 6ed6284bf8f8641e88a6af7abee25ab27997c40c735a43570aa2ebac4317fdef
- Size of remote file:
- 268 MB
- SHA256:
- ba4f0a2520fd50b7a48ebb58baf10d25a9566f83f38abf5f9c084b900f7101bd
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