Instructions to use HPLT/hplt_bert_base_ro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_ro with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_ro", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_ro", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f2aadaa1e6313f9f7f4ba493188a472aaba65b6b5c17e0e5b46041e03f83dd4f
- Size of remote file:
- 525 MB
- SHA256:
- a81a776071866f8726257428a04acef59ef528f90be42d894d0e52589028a1ff
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