Instructions to use distilbert/distilbert-base-multilingual-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use distilbert/distilbert-base-multilingual-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="distilbert/distilbert-base-multilingual-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("distilbert/distilbert-base-multilingual-cased") model = AutoModelForMaskedLM.from_pretrained("distilbert/distilbert-base-multilingual-cased") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
Adding `safetensors` variant of this model (#3) 9e90d6d
Migrate model card from transformers-repo 1a01b38
For clarity, delete deprecated modelcard.json 785c07b
Add vocab 8b267b4
Thomas Wolf commited on
Add tokenizer configuration 04e859e
Thomas Wolf commited on