How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("feature-extraction", model="LazerLambda/ModernBERT-large-ModBERTScore-19")
# Load model directly
from transformers import AutoTokenizer, AutoModel

tokenizer = AutoTokenizer.from_pretrained("LazerLambda/ModernBERT-large-ModBERTScore-19")
model = AutoModel.from_pretrained("LazerLambda/ModernBERT-large-ModBERTScore-19")
Quick Links

ModernBERT-large Model for modern-bert-score

Model based on answerdotai/ModernBERT-large, using only the first 19 transformer layers.

Downloads last month
2
Safetensors
Model size
0.3B params
Tensor type
F32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Collection including LazerLambda/ModernBERT-large-ModBERTScore-19