PyTorch-Transformers: add possibility to pass model path to embeddings #993
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…iously) for PyTorch-Transformer based embeddings
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Btw: an extra section that shows how to use an own trained model is coming very soon (it shows how to use sciBERT with |
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Awesome, thanks for adding this! |
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Hi,
this PR adds the possibility to pass a model path to the PyTorch-Transformer based embeddings.
This is highly needed when Flair users want to use own trained models, like e.g. an own trained XLNet model.
The argument name is changed from
modeltopretrained_model_name_or_path(as it is named inpytorch-transformers).