Fill-Mask
Transformers
PyTorch
Safetensors
Chinese
bert
feature-extraction
chinesebert
MLM
custom_code
Instructions to use iioSnail/ChineseBERT-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iioSnail/ChineseBERT-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="iioSnail/ChineseBERT-base", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("iioSnail/ChineseBERT-base", trust_remote_code=True) model = AutoModel.from_pretrained("iioSnail/ChineseBERT-base", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 65c238c2671879dbe8a26ed9babcd8e968040eb88cec7de428490128aa00caa5
- Size of remote file:
- 592 MB
- SHA256:
- 80233c57feb3b520febca3b5673565b181d46166578b16a9366ec0d32d31e463
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