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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.
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# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("zjunlp/mt5-ie") model = AutoModelForSeq2SeqLM.from_pretrained("zjunlp/mt5-ie")