how to fine tune custom dataset using coreference pretrained model 
the pre-trained model available in hugging face hub "nreimers/mMiniLMv2-L12-H384-distilled-from-XLMR-Large" how to fine tuning with own custom dataset.
Hi,

For that I'll refer to the training guide of Sentence Transformers: https://www.sbert.net/docs/training/overview.html.<|||||>> Hi,
> 
> For that I'll refer to the training guide of Sentence Transformers: https://www.sbert.net/docs/training/overview.html.

Hi @NielsRogge , I have to use my own dataset for co-reference resolution task, so above mention suggestion will work on pretrained model of "nreimers/mMiniLMv2-L12-H384-distilled-from-XLMR-Large". 
after  finetune I got output folder which contains  1_Pooling ,config.json, config_sentence_transformers.json,eval,modules.json,pytorch_model.bin,README.md,sentence_bert_config.json
sentencepiece.bpe.model,special_tokens_map.json, tokenizer.json, tokenizer_config.json and this folder I saved as zip file and load path of fine tune model for  prediction but when use for prediction it is not working