Instructions to use Geotrend/bert-base-en-da-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Geotrend/bert-base-en-da-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Geotrend/bert-base-en-da-cased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-en-da-cased") model = AutoModelForMaskedLM.from_pretrained("Geotrend/bert-base-en-da-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
|
Download README.md from Geotrend/bert-base-en-da-cased: direct link, hf CLI and curl.
- Browser
- Download file 1.37 kB
-
https://huggingface.co/Geotrend/bert-base-en-da-cased/resolve/main/README.md
- Command line
-
hf download hf://Geotrend/bert-base-en-da-cased/README.md
-
curl -L -o README.md https://huggingface.co/Geotrend/bert-base-en-da-cased/resolve/main/README.md
1.37 kB
metadata
language: multilingual
datasets: wikipedia
license: apache-2.0
bert-base-en-da-cased
We are sharing smaller versions of bert-base-multilingual-cased that handle a custom number of languages.
Unlike distilbert-base-multilingual-cased, our versions give exactly the same representations produced by the original model which preserves the original accuracy.
For more information please visit our paper: Load What You Need: Smaller Versions of Multilingual BERT.
How to use
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("Geotrend/bert-base-en-da-cased")
model = AutoModel.from_pretrained("Geotrend/bert-base-en-da-cased")
To generate other smaller versions of multilingual transformers please visit our Github repo.
How to cite
@inproceedings{smallermbert,
title={Load What You Need: Smaller Versions of Mutlilingual BERT},
author={Abdaoui, Amine and Pradel, Camille and Sigel, Grégoire},
booktitle={SustaiNLP / EMNLP},
year={2020}
}
Contact
Please contact amine@geotrend.fr for any question, feedback or request.