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)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_en", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 343b2fce9a0eed813d5b66066c319b7907528a0e7e776bb6e55717e870ea364b
- Size of remote file:
- 525 MB
- SHA256:
- e3e5528ed7a9ef32e93374757dba678b5880a2b0a4c7c45d786f059c5830eafd
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