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Title
a

Ananiya

07/26/2022, 3:12 PM
Any way to load roBERTa model using kotlin? I am aware that certain language have implementation to vectorize the text like
RobertaTokenizerFast
in pytho.. In kotlin I was managed to get the size and some information using `OnnxInferenceModel`(kotlindl) but I am quite confused on vectorizing the sentence because i don't have access to the vocabulary, the approach used the vectorize the sent.. or the dimensions to implement the vectorizer manualy So I was wondering if there's any possible way or library that could workaround
i

Ilya Muradyan

07/26/2022, 4:30 PM
@Julia Beliaeva @zaleslaw
z

zaleslaw

07/27/2022, 12:06 PM
At this moment I could not find a way to port tokenizers
a

Ananiya

07/27/2022, 2:23 PM
Thanks @zaleslaw for the response Is there any other model that I can utilize instead of roBerta I tried importing pretrained keras model which doesn't workout due to the the lack of Embedding layer Or maybe I should wait until the layers are ready
r

roman.belov

07/29/2022, 10:26 AM
@Ananiya I guess https://github.com/londogard/londogard-nlp-toolkit/ should work for preprocessing
a

Ananiya

07/29/2022, 4:44 PM
@roman.belov thanks for the response! I looked at this library earlier but doesn't seems to provide same vectorizer as Roberta
h

Hampus Londögård

08/01/2022, 5:50 AM
@Ananiya it’s something I’m working on adding through using DJL. You should be able to use DJL directly for now 🙂 It supports HuggingFace Tokenizers.
a

Ananiya

08/01/2022, 5:52 AM
Interesting! thanks @Hampus Londögård for letting me know
h

Hampus Londögård

08/29/2022, 8:01 AM
@Ananiya I’ve added support for
ClassifierPipeline
&
TokenClassificationPipeline
which means that Text. Classiification and Token Classiification (e.g. NER) is supported now 👍 Files can be loaded from file-system (ONNX & PyTorch) and from HuggingFace Hub (ONNX)
a

Ananiya

08/29/2022, 8:20 AM
Fantastic @Hampus Londögård ! Excited to test it