说明文档

sentence-transformers/distiluse-base-multilingual-cased-v1

这是一个 sentence-transformers 模型：它将句子和段落映射到一个 512 维的密集向量空间，可用于聚类或语义搜索等任务。

使用方法 (Sentence-Transformers)

当您安装了 sentence-transformers 后，使用此模型变得非常简单：

pip install -U sentence-transformers

然后您可以这样使用该模型：

from sentence_transformers import SentenceTransformer
sentences = ["This is an example sentence", "Each sentence is converted"]

model = SentenceTransformer('sentence-transformers/distiluse-base-multilingual-cased-v1')
embeddings = model.encode(sentences)
print(embeddings)

完整模型架构

SentenceTransformer(
  (0): Transformer({'max_seq_length': 128, 'do_lower_case': False}) with Transformer model: DistilBertModel 
  (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False})
  (2): Dense({'in_features': 768, 'out_features': 512, 'bias': True, 'activation_function': 'torch.nn.modules.activation.Tanh'})
)

引用与作者

此模型由 sentence-transformers 训练。

如果您觉得此模型有帮助，欢迎引用我们的论文 Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks：

@inproceedings{reimers-2019-sentence-bert,
    title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
    author = "Reimers, Nils and Gurevych, Iryna",
    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
    month = "11",
    year = "2019",
    publisher = "Association for Computational Linguistics",
    url = "http://arxiv.org/abs/1908.10084",
}

sentence-transformers/distiluse-base-multilingual-cased-v1

作者 sentence-transformers

sentence-similarity sentence-transformers

↓ 1M ♥ 129

创建时间: 2022-03-02 23:29:05+00:00

更新时间: 2025-03-06 13:32:06+00:00

在 Hugging Face 上查看

文件 (30)

.gitattributes

1_Pooling/config.json

2_Dense/config.json

2_Dense/model.safetensors

2_Dense/pytorch_model.bin

README.md

config.json

config_sentence_transformers.json

model.safetensors

modules.json

onnx/model.onnx ONNX

onnx/model_O1.onnx ONNX

onnx/model_O2.onnx ONNX

onnx/model_O3.onnx ONNX

onnx/model_O4.onnx ONNX

onnx/model_qint8_arm64.onnx ONNX

onnx/model_qint8_avx512.onnx ONNX

onnx/model_qint8_avx512_vnni.onnx ONNX

onnx/model_quint8_avx2.onnx ONNX

openvino/openvino_model.bin

openvino/openvino_model.xml

openvino/openvino_model_qint8_quantized.bin

openvino/openvino_model_qint8_quantized.xml

pytorch_model.bin

sentence_bert_config.json

special_tokens_map.json

tf_model.h5

tokenizer.json

tokenizer_config.json

vocab.txt