Add support for LM from transformers

[Theodotus1243]

Hi, want to say that You implemented a great package

It's block structure lets to assume that except of LanguageModel it can support many others

For example adding support for AutoModelForCausalLM will extend it to numbers of awailable models from huggingface

From GPT2, OPT to BERT and XGLM

[Theodotus1243]

In transformers score called perplexity(PPL)
Here is the guide for to calculate PPL from AutoModelForCausalLM output

[Theodotus1243]

Am I right that I can do it by my own by just initializing BeamSearchDecoderCTC with custom AbstractLanguageModel instead of using build_ctcdecoder?

[sanchit-gandhi]

Hey @Theodotus1243! Here's a guide on how you can integrate a pyctcdecode n-gram beam scorer with a Wav2Vec2CTC model from 🤗 Transformers: https://huggingface.co/blog/wav2vec2-with-ngram

[afaiza]

@Theodotus1243
Have you had any success with using a neural LM with pyctcdecode?
Do you have some code you can share?