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
Addition of paper
#8
by Ezi - opened
Adding in the linked paper of the parent model (bert-base-uncased)
sgugger changed pull request status to merged
Thank you!
is there a paper associated with this particular model, BTW? (I don't remember which org or user published it initially)
Who pre-trained it then ?
Itβs under the HF models soo π
hmm no it's not under HF models, what do you mean?
I mean, as in , who owns this model repo?
Is it not under HF?
