Instructions to use HPLT/hplt_bert_base_nl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_nl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_nl", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_nl", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eff4b4ca460f4f66338727bfc6ac0fbc5f9fcf128c0cb64d8a48e26ade78e14b
- Size of remote file:
- 626 MB
- SHA256:
- f4af9901447891591704cf560f86bf889cd2900e49481ede612863d1b7cea193
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