Instructions to use HPLT/hplt_bert_base_gu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_gu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_gu", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_gu", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3d855a08dde5dc5d96bf6fac2badcb8ae77365a2997267b0aa15007e210a0262
- Size of remote file:
- 525 MB
- SHA256:
- 4e3e8f509202aabee31320f92c93b565e43b154143bdc7a73870f1a12bb995b2
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