Instructions to use HPLT/hplt_bert_base_de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_de with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_de", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_de", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 876c182f34df26c11f348289962ccde70d06c58519e8d796ab606920cfc0c1be
- Size of remote file:
- 525 MB
- SHA256:
- 5ea20c5f3597bd909d5e0a9f0ae69e04730c66a62a41b3d23808ebea9c7c908b
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