Instructions to use HPLT/hplt_bert_base_he with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_he with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_he", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_he", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b938dc123b845e774dbbd4cd949d9ccdd423bed1264789af50d4ed47ad6c6a4
- Size of remote file:
- 525 MB
- SHA256:
- a7a9484315b86b83fc55235d4b8503f8294bcc19fbf933166d588dd5133d3fbc
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