
We trained the MT5-base model for the CCKS2023 Instruction-based KGC task using 27W weakly supervised data without employing any additional techniques.

To learn more about the training process and how to utilize the model, please consult the following GitHub repository: https://github.com/zjunlp/DeepKE/tree/main/example/triple/mt5.

There, you will find detailed information on how to train the model and leverage its capabilities for the given task.


{"license": "mit"}
transformers pytorch safetensors mt5 text2text-generation license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #safetensors #mt5 #text2text-generation #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 


We trained the MT5-base model for the CCKS2023 Instruction-based KGC task using 27W weakly supervised data without employing any additional techniques.

To learn more about the training process and how to utilize the model, please consult the following GitHub repository: URL

There, you will find detailed information on how to train the model and leverage its capabilities for the given task.


TAGS
#transformers #pytorch #safetensors #mt5 #text2text-generation #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
