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
how to solve "cannot import name 'Automodel' from 'transformers' (C:\Users\chen\.conda\envs\mypytorch\lib\site-packages\transformers\__init__.py)"
#31
by chen0325 - opened
from transformers import Automodel, AutoTokenizer
ImportError Traceback (most recent call last)
Cell In[2], line 1
----> 1 from transformers import Automodel, AutoTokenizer
ImportError: cannot import name 'Automodel' from 'transformers' (C:\Users\chen.conda\envs\mypytorch\lib\site-packages\transformers_init_.py)