SPECTER is a pre-trained language model to generate document-level embedding of documents. It is pre-trained on a powerful signal of document-level relatedness: the citation graph. Unlike existing pretrained language models, SPECTER can be easily applied to downstream applications without task-specific fine-tuning.
If you're coming here because you want to embed papers, SPECTER has now been superceded by
SPECTER2
. Use that instead.
specter huggingface.co is an AI model on huggingface.co that provides specter's model effect (), which can be used instantly with this allenai specter model. huggingface.co supports a free trial of the specter model, and also provides paid use of the specter. Support call specter model through api, including Node.js, Python, http.
specter huggingface.co is an online trial and call api platform, which integrates specter's modeling effects, including api services, and provides a free online trial of specter, you can try specter online for free by clicking the link below.
allenai specter online free url in huggingface.co:
specter is an open source model from GitHub that offers a free installation service, and any user can find specter on GitHub to install. At the same time, huggingface.co provides the effect of specter install, users can directly use specter installed effect in huggingface.co for debugging and trial. It also supports api for free installation.