Hi! Can you help me pliz, Is there an easy way to use DeepPavlov/rubert-base-cased from Huggingface with Rasa? This is a BERT model with russian language weights.
@SemionushkinDenis1988 Thanks for the question! Yes, you can use the BERT model with the specified russian language weights. Although, I see that the model checkpoint is for pytorch backend which we don’t support as of now. However, you can convert the pytorch checkpoint into a Tensorflow checkpoint and then load the converted checkpoint in your pipeline. Please refer to this thread to understand how you can do this.
One more question, how can i feed converted checkpoints to rasa?
I have an error like this: no cache
I don’t think that’s an error. After this step the transformers lib should have tried to download the model. and put it in cache. You can specify a
cache_dir parameter in the configuration to use a custom path for caching models from HF Transformers.
You can use the path to the converted checkpoints as the value for
what if i convert .pt model to .h5 format and add link at modeling_tf_bert.py?
i tried it and it works
Hi, did you finally managed to use ruBert?