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)# pip install -U transformers accelerate # 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, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download img/code_math.png from EuroBERT/EuroBERT-210m: direct link, hf CLI and curl.
- Browser
- Download file 444 kB
-
https://huggingface.co/EuroBERT/EuroBERT-210m/resolve/refs%2Fpr%2F21/img/code_math.png
- Command line
-
hf download hf://EuroBERT/EuroBERT-210m@refs/pr/21/img/code_math.png
-
curl -L -o code_math.png https://huggingface.co/EuroBERT/EuroBERT-210m/resolve/refs%2Fpr%2F21/img/code_math.png
444 kB

- Xet hash:
- e317a5509977ccae06262cf280e14c83c369b7bff979b3dea5541947d7148d3a
- Size of remote file:
- 444 kB
- SHA256:
- b7db98e66299266147c03ee9c9d1fad5851909481b1f333f4f85d940af4ad705
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