PRATIK C

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> You would be much better off using LIT for this task, as opposed to WIT. https://pair-code.github.io/lit/ > > LIT has built-in support for most NLP analysis tasks, including attention...

> Leverage the "inference_on" parameter, and updated it to make it more intuitive now for multi-GPU usage. -1 is reserved for CPU and ```0 through 998 is reserved for GPUs``....

> > Leverage the "inference_on" parameter, and updated it to make it more intuitive now for multi-GPU usage. -1 is reserved for CPU and ```0 through 998 is reserved for...

> The converter for OneVsOneClassifier has not been implemented yet. It should not be too complicated to do. In the meantime, OneVsRestClassifier has a converter. But in the document OneVsOneClassifier...

> @pratikchhapolika I'm working on this converter now. Can you please share me some of your data (X_train, y_train, X_test, y_test, etc.) so I can do a fully testing? sure....

> @pratikchhapolika I'm working on this converter now. Can you please share me some of your data (X_train, y_train, X_test, y_test, etc.) so I can do a fully testing? @xiaowuhu...