[NLP] Support E5 small multi-lingual #625
Merged
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E5 small multi lingual is based on a BERT architecture which made the code that traces the model assume the model takes 4 parameters to its
forward()
function. However, the model uses the XLMRoBERTa tokenizer which produces 2 inputs, this lead to an error when evaluating the model as it complained of missing arguments.The fix is to use the tokenizer type to determine the number of inputs to the model's
forward()
functionCloses #583