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)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_nl", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from HPLT/hplt_bert_base_nl: direct link, hf CLI and curl.
- Browser
- Download file 892 kB
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https://huggingface.co/HPLT/hplt_bert_base_nl/resolve/main/tokenizer.json
- Command line
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hf download hf://HPLT/hplt_bert_base_nl/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/HPLT/hplt_bert_base_nl/resolve/main/tokenizer.json
892 kB
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