Instructions to use HPLT/hplt_bert_base_pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_pt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_pt", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_pt", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8f396849629c77d5e429015e89d5442f38adbd43c4e57be06500d36ee03af499
- Size of remote file:
- 626 MB
- SHA256:
- f2180ee3265a1117e466a3dea81a36b703a21539e454b1ea4a2d2fc2d0922866
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