Instructions to use bhavikardeshna/multilingual-bert-base-cased-chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bhavikardeshna/multilingual-bert-base-cased-chinese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="bhavikardeshna/multilingual-bert-base-cased-chinese")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("bhavikardeshna/multilingual-bert-base-cased-chinese") model = AutoModelForQuestionAnswering.from_pretrained("bhavikardeshna/multilingual-bert-base-cased-chinese") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened almost 3 years ago
by
SFconvertbot