Instructions to use HPLT/hplt_bert_base_bn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_bn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_bn", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_bn", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c605756f6f45f62a0041c3fdea3c21da77d0bd91c8abb6b8b15a70a96ac5c45
- Size of remote file:
- 525 MB
- SHA256:
- 0dfb63233929480560e3dcce9a837cab3bbd8ec5cb04c197a0baed8ab5aa7809
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