Fine tunning for zero shot on tensorflow
Has anyone seen a code snippet for fine tuning a model on NLI using the transformer library on a tensorflow backbone?Specifically:I have a data set with specialized vocabulary, for which I want to apply zero shot classification.  I first fine tuned on a maskedLM task but now the model has lost the NLI heads.  From my understanding fine tuning my new model on an NLI task next should achieve the desired result.I’ve seen a PyTorch implementation for NLI tunning, but I’m not as familiar with PyTorch.I’m trying to fine tune my model on the multi_nli dataset.Any help is appreciated, including alternative approaches.