![]() The City of Paris is the centre and seat of government of the region and province of Île-de-France, or Paris Region, which has an estimated population of 12,174,880, or about 18 percent of the population of France as of 2017. The library currently contains PyTorch implementations, pre-trained model weights, usage scripts and conversion utilities for the following models: BERT (from Google) released with the paper. "Paris is the capital and most populous city of France, with an estimated population of 2,175,601 residents as of 2018, in an area of more than 105 square kilometres (41 square miles). PyTorch-Transformers (formerly known as pytorch-pretrained-bert) is a library of state-of-the-art pre-trained models for Natural Language Processing (NLP). # [ from inference = new HfInference( HF_ACCESS_TOKEN) The City of Paris is the centre and seat of government of the region and province of Île-de-France, or Paris Region, which has an estimated population of 12,174,880, or about 18 percent of the population of France as of 2017.") from transformers import pipelineĬlassifier( "Paris is the capital and most populous city of France, with an estimated population of 2,175,601 residents as of 2018, in an area of more than 105 square kilometres (41 square miles). If no model name is provided the pipeline will be initialized with sshleifer/distilbart-cnn-12-6. You can use the □ Transformers library summarization pipeline to infer with existing Summarization models.
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