Instructions to use HPLT/hplt_bert_base_uk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_uk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_uk", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_uk", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 70c29e6cd7f50b80e5d3a2e513649b2778fe9df4c8188d78f21a53b4f70f4731
- Size of remote file:
- 525 MB
- SHA256:
- 7f5222769032af3c65b47fe0301fe4713aea97902bcee0185f70e2e274ca9b83
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