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
how to extract embedding for retrieval task
2
#10 opened over 1 year ago
by
Ratar37003
Finetuned model has smaller model.safetensors size
3
#8 opened over 1 year ago
by
nam-withpi