Instructions to use HPLT/hplt_bert_base_en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_en", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_en", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from HPLT/hplt_bert_base_en: direct link, hf CLI and curl.
- Browser
- Download file 899 kB
-
https://huggingface.co/HPLT/hplt_bert_base_en/resolve/refs%2Fpr%2F2/tokenizer.json
- Command line
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hf download hf://HPLT/hplt_bert_base_en@refs/pr/2/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/HPLT/hplt_bert_base_en/resolve/refs%2Fpr%2F2/tokenizer.json
899 kB
File too large to display, you can check the raw version instead.