Instructions to use google-bert/bert-large-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google-bert/bert-large-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="google-bert/bert-large-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("google-bert/bert-large-uncased") model = AutoModelForMaskedLM.from_pretrained("google-bert/bert-large-uncased") - Inference
- Notebooks
- Google Colab
- Kaggle
addition of Rust model
#2
by kavanmevada - opened
Converted pytorch_model.bin via utility in rust-bert using following command:
python3 utils/convert_model.py ../pytorch_model.bin
libtorch: libtorch-cxx11-abi-shared-with-deps-2.1.0+cu118
rust-bert commit/1f4d344668232da8e669e7fea1391c8829d5d1e3
IMO we can merge
Alright, let's merge!
lysandre changed pull request status to merged