Instructions to use EuroBERT/EuroBERT-2.1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EuroBERT/EuroBERT-2.1B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="EuroBERT/EuroBERT-2.1B", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("EuroBERT/EuroBERT-2.1B", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("EuroBERT/EuroBERT-2.1B", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
MMTEB performance mising
#9
by koleckar - opened
Hello, did you measure on MMTEB since it is possibly the best benchmark collection for multilingual and european models? Thank you
Hi @koleckar , thanks for reaching out.
We're not evaluating MMTEB performance at the moment, as our current models are base (pre-trained) versions and haven't been specifically fine-tuned for embedding tasks.
That said, we're currently working on a fine-tuned version.
Stay tuned!
hgissbkh changed discussion status to closed