Instructions to use HPLT/hplt_bert_base_da with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_da with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_da", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_da", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 07184c8ff1595c4141a08483f7333bc21c525bd215eb39583b625b218ae42bf8
- Size of remote file:
- 525 MB
- SHA256:
- d28764314608c154714197548659f1e82e1cb05346dac8e1d79d208313fd56c7
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