Instructions to use EuroBERT/EuroBERT-610m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EuroBERT/EuroBERT-610m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="EuroBERT/EuroBERT-610m", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("EuroBERT/EuroBERT-610m", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("EuroBERT/EuroBERT-610m", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
any reason why a 2.1b version was made when 610m was already so good?
#4
by robbiemu - opened
Title says it all. I'm trying to decide which to use to upgrade from arctic embed 2.
Beyond the industrial impact we believed this could also serve as a research artifact for futur work to better understand and test scaling
robbiemu changed discussion status to closed