readme: ---
  tags:
  - fastai
  - text-translation
  
  language: ml
  
  widget:
  - text: "കേൾക്കുന്ന എല്ലാ കാര്യങ്ങളും എനിക്കു മനസിലായില്ല"
    example_title: "Malayalam Seq2Seq translation"
  
  
  ---
  
  # മലയാളം - English ULMFit translationmodel. (Working in Progress)
  
  
  [![മലയാളം: kaggle notebook](https://img.shields.io/badge/മലയാളം%20-notebook-green.svg)](https://www.kaggle.com/code/rajeshradhakrishnan/ml-ulmfit-seq2seq-translation)
  
  
  ---
  
  # malayalam-ULMFit-Seq2Seq (Traslation model)
  
  malayalam-ULMFit-Seq2Seq model is pre-trained on [Malyalam_Language_Model_ULMFiT](https://github.com/goru001/nlp-for-malyalam/blob/master/language-model/Malyalam_Language_Model_ULMFiT.ipynb) using  [fastai](https://docs.fast.ai/text.data.html) Language Model using fastai 
  
  Tokenized using Sentencepiece with a vocab size of 10000 the language model is upload to [kaggle dataset](https://www.kaggle.com/datasets/rajeshradhakrishnan/ulmfit-fastai)
  
  ## Usage
  
  ```
  !pip install -Uqq huggingface_hub["fastai"]
  
  from huggingface_hub import from_pretrained_fastai
  learner = from_pretrained_fastai(repo_id)
  
  original_xtext = 'കേൾക്കുന്ന എല്ലാ കാര്യങ്ങളും എനിക്കു മനസിലായില്ല'
  original_ytext = 'I didnt understand all this'
  predicted_text = learner.predict(original_xtext)
  print(f'original text: {original_xtext}')
  print(f'original answer: {original_ytext}')
  print(f'predicted text: {predicted_text}')
  
  ```
  
  ## Intended uses & limitations
  
  It's not fine tuned to the state of the art accuracy
  
  ## Training and evaluation data
  
  [Malayalam Samanantar Dataset - uploaded to kaggle with english - malayalam ](https://www.kaggle.com/datasets/rajeshradhakrishnan/ulmfit-fastai)
  