Instructions to use HPLT/hplt_bert_base_hu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_hu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_hu", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_hu", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6eb08c99c24b627807ad0556eb7fad183290932c06a8480c4cdaf81d1d038ba0
- Size of remote file:
- 525 MB
- SHA256:
- c9b898b36c8c3d8417039454bc4d82069f0dd7e64baac5e411d6f68c070b802d
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