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lighthousefeed/yoda-fits
yoda-fits is a summarization model from lighthousefeed. Use it when you need a shorter version of a longer text. It is set up for transformers.
YODA is a series of models for Google Feed product optimization. We aim to increase the market reach for ecommerce by augmenting and improving certain metadata like short titles, colors, measures and more. YODA is bei…
Downloads · 30 days
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1% of all-time downloads
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From the Hugging Face model README
YODA is a series of models for Google Feed product optimization. We aim to increase the market reach for ecommerce by augmenting and improving certain metadata like short titles, colors, measures and more. YODA is being used in production by +300 companies with +3.5M products.
Trained with more than 2M lines of long and short titles from real products, the FITS model is capable of extracting the key features of an already short text. It generates a short title for better SEM (Search Engine Marketing) and product position in google indexes.
Product titles are not long text with a common sense or clear context. Words in product titles may be disorganized or may not make sense at all. Detecting context or meaning in short sentences raises a problem and with abstractive summarization, we may see certain decorations or errors on the model output.
To palliate that problem we run some post-processing on our model later on our custom API. You may contact Iván R. Gázquez (lead ML developer) for any problem or inquiry.
You can use cURL to access this model:
$ curl -X POST -H "Authorization: Bearer YOUR_HUGGINGFACE_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://api-inference.huggingface.co/gazquez/autotrain-yoda-fits-1539355334