Instructions to use google-bert/bert-base-multilingual-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google-bert/bert-base-multilingual-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="google-bert/bert-base-multilingual-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("google-bert/bert-base-multilingual-cased") model = AutoModelForMaskedLM.from_pretrained("google-bert/bert-base-multilingual-cased") - Inference
- Notebooks
- Google Colab
- Kaggle
Using bert-multilingual as a cross-lingual re-ranker
#10
by victorkeke - opened
We need a model that can re-rank text pairs in different languages. Does this model have this capability? for example, we need it to re-rank ["women red shoes", "kirmizi ayakkabi"], which the second part is "Red shoe" in Turkish language.