Instructions to use google-bert/bert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google-bert/bert-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="google-bert/bert-base-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("google-bert/bert-base-uncased") model = AutoModelForMaskedLM.from_pretrained("google-bert/bert-base-uncased") - Inference
- Notebooks
- Google Colab
- Kaggle
Upload LICENSE
#2
by sasaadi - opened
No description provided.
@LysandreJik what do you think?
BERT has an Apache license: https://github.com/google-research/bert/blob/master/LICENSE so this should be fine no?
Yes, makes sense to me!
ok for me too
lysandre changed pull request status to merged
This comment has been hidden
This comment has been hidden
This comment has been hidden
This comment has been hidden
This comment has been hidden
This comment has been hidden
This comment has been hidden
This comment has been hidden
This comment has been hidden