Instructions to use IDEA-CCNL/Erlangshen-Ubert-110M-Chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IDEA-CCNL/Erlangshen-Ubert-110M-Chinese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="IDEA-CCNL/Erlangshen-Ubert-110M-Chinese")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("IDEA-CCNL/Erlangshen-Ubert-110M-Chinese") model = AutoModelForMaskedLM.from_pretrained("IDEA-CCNL/Erlangshen-Ubert-110M-Chinese") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a03df5f666bb46471f2b2d33dcd53fa34975fd063f4c1e49ca2f40ed8b08efb7
- Size of remote file:
- 411 MB
- SHA256:
- 4eaa243ebfd5312cbaa8880c8a9339a355e8d7ce9d2ada74169ea90715d6c045
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