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:
- fcd2ff7cb39e185be3cef6bd9c85b53f0e8074bba7155a6cab83da368068212a
- Size of remote file:
- 525 MB
- SHA256:
- 016af2dac1671a595ff1f4afccd9c4fec649b44cdf7de04a6975cb48fbc6c3fa
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