Instructions to use distilbert/distilbert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use distilbert/distilbert-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="distilbert/distilbert-base-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("distilbert/distilbert-base-uncased") model = AutoModelForMaskedLM.from_pretrained("distilbert/distilbert-base-uncased") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
Changed distillation URL (#8) 6cdc0aa
add flax model b22dbc4
allow flax 3f08e1e
Migrate model card from transformers-repo eceec7f
For clarity, delete deprecated modelcard.json 0571395
Add vocab eb7dc0a
Thomas Wolf commited on
Add tokenizer configuration 182a12c
Thomas Wolf commited on