Fill-Mask
Transformers
PyTorch
Safetensors
Chinese
bert
feature-extraction
chinesebert
MLM
custom_code
Instructions to use iioSnail/ChineseBERT-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iioSnail/ChineseBERT-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="iioSnail/ChineseBERT-large", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("iioSnail/ChineseBERT-large", trust_remote_code=True) model = AutoModel.from_pretrained("iioSnail/ChineseBERT-large", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48f4ceadfc733f91aba51fd065075cbe490366e94fdbf1e487c7466cda47ffaa
- Size of remote file:
- 1.5 GB
- SHA256:
- 87c712d04ec75a023b5689e5f09a2fd48e1e94e8fabc4adbaa0e83afdf3c5f47
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