Instructions to use mwesner/bert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mwesner/bert-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mwesner/bert-base-uncased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mwesner/bert-base-uncased") model = AutoModelForMaskedLM.from_pretrained("mwesner/bert-base-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Delete .gitattributes
Verified signatureParis is the [MASK] of France2e27e8e
-
Update README.md
e33fba7 -
Update README.md
3b2f1f6
-
Update README.md
69b999a -
Update README.md
5db1c40 -
Update README.md
1791669 -
update model card README.md
b48273b -
Training complete!
52c778e -
initial commit
9a11bf1