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
Add language tags
#2
by lbourdois - opened
Yes, the folder has moved here: https://github.com/huggingface/transformers/tree/main/examples/research_projects/distillation
Would you like to update the link as part of your PR?
Done :)
Thanks a lot!
sgugger changed pull request status to merged