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{
"_name_or_path": "/content/drive/MyDrive/project/multilingual-sentence-embedder/ckpt",
"architectures": [
"SentenceEmbedderModel"
],
"auto_map": {
"AutoConfig": "configuration_sentence_embedder.SentenceEmbedderConfig",
"AutoModel": "modeling_sentence_embedder.SentenceEmbedderModel"
},
"backbone_name": "xlm-roberta-base",
"base_model_name": "nreimers/mMiniLMv2-L6-H384-distilled-from-XLMR-Large",
"init_backbone": true,
"model_type": "sentence_embedder",
"output_size": 768,
"torch_dtype": "float32",
"transformers_version": "4.25.1"
}