*This model was published in HF papers on 2025-03-07 and contributed to Hugging Face Transformers on 2026-03-04.*
# EuroBERT
## Overview
[EuroBERT](https://huggingface.co/papers/2503.05500) is a multilingual encoder model based on a refreshed transformer architecture, akin to Llama but with bidirectional attention. It supports a mixture of European and widely spoken languages, with sequences of up to 8192 tokens.
You can find all the original EuroBERT checkpoints under the [EuroBERT](https://huggingface.co/collections/EuroBERT/eurobert) collection, or read more about the release in the [EuroBERT blogpost](https://huggingface.co/blog/EuroBERT/release).
The example below demonstrates how to predict the `<|mask|>` token with [`Pipeline`], [`AutoModel`], and from the command line.
```python
from transformers import pipeline
pipeline = pipeline(
task="fill-mask",
model="EuroBERT/EuroBERT-210m",
device=0
)
pipeline("Plants create <|mask|> through a process known as photosynthesis.")
```
```python
import torch
from transformers import AutoModelForMaskedLM, AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained(
"EuroBERT/EuroBERT-210m",
)
model = AutoModelForMaskedLM.from_pretrained(
"EuroBERT/EuroBERT-210m",
device_map="auto",
attn_implementation="sdpa"
)
inputs = tokenizer("Plants create <|mask|> through a process known as photosynthesis.", return_tensors="pt").to(model.device)
with torch.no_grad():
outputs = model(**inputs)
predictions = outputs.logits
masked_index = torch.where(inputs['input_ids'] == tokenizer.mask_token_id)[1]
predicted_token_id = predictions[0, masked_index].argmax(dim=-1)
predicted_token = tokenizer.decode(predicted_token_id)
print(f"The predicted token is: {predicted_token}")
```
## EuroBertConfig
[[autodoc]] EuroBertConfig
## EuroBertModel
[[autodoc]] EuroBertModel
- forward
## EuroBertForMaskedLM
[[autodoc]] EuroBertForMaskedLM
- forward
## EuroBertForSequenceClassification
[[autodoc]] EuroBertForSequenceClassification
- forward
## EuroBertForTokenClassification
[[autodoc]] EuroBertForTokenClassification
- forward
