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="HasinMDG/multilingual-ned-e5-large")
# Load model directly
from transformers import AutoTokenizer, AutoModel

tokenizer = AutoTokenizer.from_pretrained("HasinMDG/multilingual-ned-e5-large")
model = AutoModel.from_pretrained("HasinMDG/multilingual-ned-e5-large")
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NED model

Mulitilingual E5 model designed for NED

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Safetensors
Model size
0.6B params
Tensor type
F32
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