Instructions to use HPLT/hplt_bert_base_si with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_si with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_si", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_si", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6fbbea9b72fb77a590ebf98c99addd0cbb113cbcba9b5a2f81529f43e97af3f1
- Size of remote file:
- 525 MB
- SHA256:
- d5ae2cec437700d03666e95833c13a40bdbb96229cb5d114f14c24493523f637
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