Instructions to use HPLT/hplt_bert_base_pa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_pa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_pa", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_pa", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b42b21015485a48da11917220deec9c41c8b2593de4081e9337b1a533f4e550a
- Size of remote file:
- 475 MB
- SHA256:
- 5a6a8bceb4c0605d899f62bcf5ed7694926df1b9dabbd0a54a21114ad927fe00
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