Instructions to use baicuya/bert_cn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use baicuya/bert_cn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="baicuya/bert_cn")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("baicuya/bert_cn") model = AutoModelForMaskedLM.from_pretrained("baicuya/bert_cn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("baicuya/bert_cn")
model = AutoModelForMaskedLM.from_pretrained("baicuya/bert_cn", device_map="auto")Quick Links
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Check out the documentation for more information.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="baicuya/bert_cn")