Finetuning H5-File

[JanFreise]

I pretrained a new LM using the below stated tutorial. https://keras.io/examples/nlp/pretraining_BERT/

This produces a TensorFlow checkpoint tf_model.h5 file for subsequent Finetuning. Can i somehow finetune this with T-NER or is an pytorch_model.bin file obligatory? The ERROR-Message suggest a way to do so - so i guess there can be done implementing a switch in T-NER:

YOURMODEL does not appear to have a file named pytorch_model.bin but there is a file for TensorFlow weights. Use from_tf=True to load this model from those weights.

Files available: README.md config.json special_tokens_map.json tf_model.h5 tokenizer.json tokenizer_config.json vocab.txt