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vocab-transformers/cross_encoder-msmarco-distilbert-word2vec256k
cross_encoder-msmarco-distilbert-word2vec256k is a text classification model from vocab-transformers. Use it when you need a label for a piece of text. It is set up for transformers.
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From the Hugging Face model README
#cross_encoder-msmarco-word2vec256k
This CrossEncoder was trained with MarginMSE loss from the nicoladecao/msmarco-word2vec256000-distilbert-base-uncased checkpoint. Word embedding matrix has been frozen during training.
You can load the model with sentence-transformers:
from sentence_transformers import CrossEncoder
from torch import nn
model = CrossEncoder(model_name, default_activation_function=nn.Identity())
Performance on TREC Deep Learning (nDCG@10):