Instructions to use HPLT/hplt_bert_base_eu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_eu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_eu", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_eu", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b85e80a08ba25bbd9d38fb97ab00342ff43055a38d4a5e35cd3f94ec36495b7c
- Size of remote file:
- 525 MB
- SHA256:
- 57d919c3c65af0739d3006e916af51a96b6cb9ade895092d5fbaa3ddee886707
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