标签：Feature Extraction

Motivation This model is based on anferico/bert-for-patents – a BERTLARGE model (See next section for details below). By default, the pre-trained ...

Vision Transformer (base-sized model) Vision Transformer (ViT) model pre-trained on ImageNet-21k (14 million images, 21,843 classes) at resolutio...

WavLM-Base Microsoft’s WavLMThe base model pretrained on 16kHz sampled speech audio. When using the model, make sure that your speech input is als...

Model card for CLAP Model card for CLAP: Contrastive Language-Audio Pretraining Table of Contents TL;DR Model Details Usage Uses ...

SEW-D-tiny SEW-D by ASAPP ResearchThe base model pretrained on 16kHz sampled speech audio. When using the model make sure that your speech input i...

LiLT + XLM-RoBERTa-base This model is created by combining the Language-Independent Layout Transformer (LiLT) with XLM-RoBERTa, a multilingual RoB...

E5-small Text Embeddings by Weakly-Supervised Contrastive Pre-training. Liang Wang, Nan Yang, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Ji...

Releasing Hindi ELECTRA model This is a first attempt at a Hindi language model trained with Google Research’s ELECTRA. As of 2022 I recommend Go...

WavLM-Base-Plus Microsoft’s WavLMThe base model pretrained on 16kHz sampled speech audio. When using the model, make sure that your speech input i...

dpr-question_encoder-single-nq-base Table of Contents Model Details How To Get Started With the Model Uses Risks, Limitations and Bi...