标签：Feature Extraction

This is a Japanese sentence-LUKE model. 日本語用Sentence-LUKEモデルです。 日本語Sentence-BERTモデルと同一のデータセットと設定で学習しました。手元の...

      (B AR出口 T 、是论文中使用的 文本填充 40 GB 语言模型。由此导出的 由[可选]共享： 全熙元（哈文、 ...

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

CANINE-s (CANINE pre-trained with subword loss) Pretrained CANINE model on 104 languages using a masked language modeling (MLM) objective. It was...

KoBART-base-v1 from transformers import PreTrainedTokenizerFast, BartModel tokenizer = PreTrainedTokenizerFast.from_pretrained('gogamza/kobart-ba...

SPECTER 2.0 SPECTER 2.0 is the successor to SPECTER and is capable of generating task specific embeddings for scientific tasks when paired with ad...

DistilBert for Dense Passage Retrieval trained with Balanced Topic Aware Sampling (TAS-B) We provide a retrieval trained DistilBert-based model (w...

CODER: Knowledge infused cross-lingual medical term embedding for term normalization. English Version. Old name. This model is not UMLSBert!!! Gith...

Latvian BERT-base-cased model. @inproceedings{Znotins-Barzdins:2020:BalticHLT, author = 'A. Znotins and G. Barzdins', title = 'LVBERT: Transformer-...

X-CLIP (base-sized model) X-CLIP model (base-sized, patch resolution of 16) trained on Kinetics-400. It was introduced in the paper Expanding Lang...