readme: ---
  tags:
  - fastai
  - text-generation
  
  language: ml
  
  widget:
  - text: "ഓഹരി വിപണി തകരുമ്പോള്‍ നിക്ഷേപം എങ്ങനെ സുരക്ഷിതമാക്കാം"
    example_title: "Malayalam Casual Language Model"
  
  datasets:
  - rajeshradhakrishnan/malayalam_wiki
  
  ---
  
  # Blurr x Casual Machine Learning Model trained on Malayalam (മലയാളം) text. (Working in Progress)
  
  
  [![മലയാളം: notebook](https://img.shields.io/badge/മലയാളം%20-notebook-green.svg)](https://nbviewer.org/github/rajeshradhakrishnanmvk/kitchen2.0/blob/main/ml/malayalam_blurr_xlm_roberta_base.ipynb)
  
  
  ---
  
  # malayalam-blurr-xlm-roberta-base (base-sized model)
  
  malayalam-blurr-xlm-roberta-base model is pre-trained on [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) using the library [blurr](https://ohmeow.github.io/blurr/) Language Model using fastai x huggingface frameworks.
  
  Ref: [Causal Language Modeling](https://ohmeow.github.io/blurr/text-modeling-language-modeling.html#Causal-language-modeling). 
  
  ## Usage
  
  ```
  !pip install -Uqq huggingface_hub["fastai"] ohmeow-blurr
  
  from huggingface_hub import from_pretrained_fastai
  learner = from_pretrained_fastai(repo_id)
  
  learner.blurr_generate("ബ്‌ളൂർ പഠിക്കാൻ വളെരെ എളുപ്പമാണ് എന്തുകൊണ്ട് എന്നാൽ", max_length=50, do_sample=True, top_k=25)
  
  ```
  
  ## Intended uses & limitations
  
  It's not fine tuned to the state of the art accuracy
  
  ## Training and evaluation data
  
  [Wiki 2020 Malayalam Dataset ](https://huggingface.co/datasets/rajeshradhakrishnan/malayalam_wiki)
  