Easy and Efficient Transformer : Scalable Inference Solution For Large NLP model
-
Updated
Nov 30, 2024 - Python
Easy and Efficient Transformer : Scalable Inference Solution For Large NLP model
Powerful document clustering models are essential as they can efficiently process large sets of documents. These models can be helpful in many fields, including general research. Searching through large corpora of publications can be a slow and tedious task; such models can significantly reduce this time.
Add a description, image, and links to the bert-inference-performance topic page so that developers can more easily learn about it.
To associate your repository with the bert-inference-performance topic, visit your repo's landing page and select "manage topics."