
## Fine-tuned Text Summarization Model - CNNMail (blurr model)

This model is trained as shown in [the link](https://github.com/kurianbenoy/chaloRR/blob/master/TextSummarisation_Seq2Seq.ipynb).

Most of the code is developed based on [blurr tutorial on modelling with mid-level APIs](https://ohmeow.github.io/blurr/text-modeling-seq2seq-summarization.html#Mid-level-API)


{"license": "mit", "tags": ["fastai", "summarization"]}
fastai summarization license:mit region:us
TAGS
#fastai #summarization #license-mit #region-us 


## Fine-tuned Text Summarization Model - CNNMail (blurr model)

This model is trained as shown in the link.

Most of the code is developed based on blurr tutorial on modelling with mid-level APIs


## Fine-tuned Text Summarization Model - CNNMail (blurr model)

This model is trained as shown in the link.

Most of the code is developed based on blurr tutorial on modelling with mid-level APIs
TAGS
#fastai #summarization #license-mit #region-us 
 ## Fine-tuned Text Summarization Model - CNNMail (blurr model)

This model is trained as shown in the link.

Most of the code is developed based on blurr tutorial on modelling with mid-level APIs
passage: TAGS
#fastai #summarization #license-mit #region-us 
## Fine-tuned Text Summarization Model - CNNMail (blurr model)

This model is trained as shown in the link.

Most of the code is developed based on blurr tutorial on modelling with mid-level APIs