Instructions to use EuroBERT/EuroBERT-210m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EuroBERT/EuroBERT-210m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="EuroBERT/EuroBERT-210m", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("EuroBERT/EuroBERT-210m", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("EuroBERT/EuroBERT-210m", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e4cfb55262ca884b5248f6b8c3cf18020634609fb863d5a8fb0447bc5f236e3
- Size of remote file:
- 1.24 GB
- SHA256:
- 34d1527cdf87ea8ec45f6888024858e084eb78131f3b8eded405d9955ec394fd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.