---
license: apache-2.0
language:
  - en
tags:
  - sentence-transformers
  - sentence-similarity
  - feature-extraction
base_model: answerdotai/ModernBERT-base
widget:
  - source_sentence: In 1831, interesting novels were written in Paris.
    sentences:
      - Hugo and Dumas met in the Opera in Paris in 1831.
      - Many interesting novels are released in the 21st century.
      - A new vegan burger is offered at the counter from now on.
pipeline_tag: sentence-similarity
library_name: sentence-transformers
---
A ModernBERT model ([answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base)) fine-tuned on NLI and tabular classification datasets using [sentence-transformers](https://sbert.net/).

You need `transformers>=4.48.0` to use ModernBERT (or install from source using `pip install git+https://github.com/huggingface/transformers.git`). You might also want to install flash attention: `pip install flash-attn`.

Usage:
```python
from sentence_transformers import SentenceTransformer

model = SentenceTransformer("clembi/ModernBERT-base-embed")

sentences = [
    "bi-directional embedding methods are cool",
    "I like playing Mario Kart",
    "They all got into the Mupalupux and drove south.",
]

embeddings = model.encode(sentences)
```