Instructions to use HPLT/hplt_bert_base_el with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_el with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_el", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_el", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- abcabf4380916e1f332d039ab97454cad2ee56eb1361b377304821dc3cc4006d
- Size of remote file:
- 525 MB
- SHA256:
- be9e3f7107ec7ab14c04a04b278734562b2129377750f590aecc8a3e719f7d29
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