Instructions to use google-bert/bert-base-chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google-bert/bert-base-chinese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="google-bert/bert-base-chinese")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("google-bert/bert-base-chinese") model = AutoModelForMaskedLM.from_pretrained("google-bert/bert-base-chinese") - Inference
- Notebooks
- Google Colab
- Kaggle
OSError: bert-base-chinese does not appear to have a file named config.json.
#15
by xiaoxiaolee - opened
Hi @xiaoxiaolee
The following snippet:
from transformers import AutoModelForMaskedLM
model_id = "bert-base-chinese"
model = AutoModelForMaskedLM.from_pretrained(model_id)
Worked fine for me - could you try with the latest transformers on pypi? pip install -U transformers
Hi @ybelkada
Thank you very much! This code didn't work well on my computer too. I met the same problem. And my transformers version is the latest 4.37.2.
