{
  "_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": false,
  "model_type": "sentence_embedder",
  "output_size": 768,
  "torch_dtype": "float32",
  "transformers_version": "4.25.1"
}