Instructions to use HPLT/hplt_bert_base_ky with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_ky with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_ky", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_ky", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b1dedf9609fe623ac57ed3b7c889e79a6a94bfff3570244034d94a07602f68a3
- Size of remote file:
- 475 MB
- SHA256:
- 56bbdea18aa9b720b202f8d60aa2e803911389891defa95896fb973fd55ad6ad
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