Instructions to use HPLT/hplt_bert_base_zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_zh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_zh", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_zh", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d8ca7eae791a8d9d90b9a721df3026e25e67c16190a99c9c227ce68f9fd3634c
- Size of remote file:
- 525 MB
- SHA256:
- bb4cd55e001fc8388ed10fc3eedef53d3f3156ec7726989d16e26a4dd0e353d5
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