I successfully finetuned the model using stated steps, then i reload the model and merge it with Lora weight top prepare for inferencing. The merge code as below :
However i received an error while inferencing :
The model 'LlamaForCausalLM' is not supported for token-classification. Supported models are ['AlbertForTokenClassification', 'BertForTokenClassification', 'BigBirdForTokenClassification', 'BioGptForTokenClassification', 'BloomForTokenClassification', 'BrosForTokenClassification', 'CamembertForTokenClassification', 'CanineForTokenClassification', 'ConvBertForTokenClassification', 'Data2VecTextForTokenClassification', 'DebertaForTokenClassification', 'DebertaV2ForTokenClassification', 'DistilBertForTokenClassification', 'ElectraForTokenClassification', 'ErnieForTokenClassification', 'ErnieMForTokenClassification', 'EsmForTokenClassification', 'FalconForTokenClassification', 'FlaubertForTokenClassification', 'FNetForTokenClassification', 'FunnelForTokenClassification', 'GPT2ForTokenClassification', 'GPT2ForTokenClassification', 'GPTBigCodeForTokenClassification', 'GPTNeoForTokenClassification', 'GPTNeoXForTokenClassification', 'IBertForTokenClassification', 'LayoutLMForTokenClassification', 'LayoutLMv2ForTokenClassification', 'LayoutLMv3ForTokenClassification', 'LiltForTokenClassification', 'LongformerForTokenClassification', 'LukeForTokenClassification', 'MarkupLMForTokenClassification', 'MegaForTokenClassification', 'MegatronBertForTokenClassification', 'MobileBertForTokenClassification', 'MPNetForTokenClassification', 'MptForTokenClassification', 'MraForTokenClassification', 'NezhaForTokenClassification', 'NystromformerForTokenClassification', 'QDQBertForTokenClassification', 'RemBertForTokenClassification', 'RobertaForTokenClassification', 'RobertaPreLayerNormForTokenClassification', 'RoCBertForTokenClassification', 'RoFormerForTokenClassification', 'SqueezeBertForTokenClassification', 'XLMForTokenClassification', 'XLMRobertaForTokenClassification', 'XLMRobertaXLForTokenClassification', 'XLNetForTokenClassification', 'XmodForTokenClassification', 'YosoForTokenClassification'].
Asking to truncate to max_length but no maximum length is provided and the model has no predefined maximum length. Default to no truncation.
Kindly guide me for better inferencing steps. Thank you
Sorry for the long waiting. I think it might be caused by an outdated version of Transformer. You may try to upgrade Transformer and see if it works. Thx.
I successfully finetuned the model using stated steps, then i reload the model and merge it with Lora weight top prepare for inferencing. The merge code as below :
However i received an error while inferencing :
The model 'LlamaForCausalLM' is not supported for token-classification. Supported models are ['AlbertForTokenClassification', 'BertForTokenClassification', 'BigBirdForTokenClassification', 'BioGptForTokenClassification', 'BloomForTokenClassification', 'BrosForTokenClassification', 'CamembertForTokenClassification', 'CanineForTokenClassification', 'ConvBertForTokenClassification', 'Data2VecTextForTokenClassification', 'DebertaForTokenClassification', 'DebertaV2ForTokenClassification', 'DistilBertForTokenClassification', 'ElectraForTokenClassification', 'ErnieForTokenClassification', 'ErnieMForTokenClassification', 'EsmForTokenClassification', 'FalconForTokenClassification', 'FlaubertForTokenClassification', 'FNetForTokenClassification', 'FunnelForTokenClassification', 'GPT2ForTokenClassification', 'GPT2ForTokenClassification', 'GPTBigCodeForTokenClassification', 'GPTNeoForTokenClassification', 'GPTNeoXForTokenClassification', 'IBertForTokenClassification', 'LayoutLMForTokenClassification', 'LayoutLMv2ForTokenClassification', 'LayoutLMv3ForTokenClassification', 'LiltForTokenClassification', 'LongformerForTokenClassification', 'LukeForTokenClassification', 'MarkupLMForTokenClassification', 'MegaForTokenClassification', 'MegatronBertForTokenClassification', 'MobileBertForTokenClassification', 'MPNetForTokenClassification', 'MptForTokenClassification', 'MraForTokenClassification', 'NezhaForTokenClassification', 'NystromformerForTokenClassification', 'QDQBertForTokenClassification', 'RemBertForTokenClassification', 'RobertaForTokenClassification', 'RobertaPreLayerNormForTokenClassification', 'RoCBertForTokenClassification', 'RoFormerForTokenClassification', 'SqueezeBertForTokenClassification', 'XLMForTokenClassification', 'XLMRobertaForTokenClassification', 'XLMRobertaXLForTokenClassification', 'XLNetForTokenClassification', 'XmodForTokenClassification', 'YosoForTokenClassification']. Asking to truncate to max_length but no maximum length is provided and the model has no predefined maximum length. Default to no truncation.
Kindly guide me for better inferencing steps. Thank you