deepct huggingface.co api & macavaney deepct github AI Model

Introduction of deepct

Model Details of deepct

A DeepCT model based on bert-base-uncased and trained on MS MARCO. This is a version of the checkpoint released by the original authors , converted to pytorch format and ready for use in PyTerrier.

References

[Dai19]: Zhuyun Dai, Jamie Callan. Context-Aware Sentence/Passage Term Importance Estimation For First Stage Retrieval. https://arxiv.org/abs/1910.10687
[Macdonald20]: Craig Macdonald, Nicola Tonellotto. Declarative Experimentation in Information Retrieval using PyTerrier. Craig Macdonald and Nicola Tonellotto. In Proceedings of ICTIR 2020. https://arxiv.org/abs/2007.14271

Runs of macavaney deepct on huggingface.co

1.9K

Total runs

24-hour runs

287

3-day runs

655

7-day runs

1.9K

30-day runs

More Information About deepct huggingface.co Model

deepct huggingface.co

deepct huggingface.co is an AI model on huggingface.co that provides deepct's model effect (), which can be used instantly with this macavaney deepct model. huggingface.co supports a free trial of the deepct model, and also provides paid use of the deepct. Support call deepct model through api, including Node.js, Python, http.

deepct huggingface.co Url

https://huggingface.co/macavaney/deepct

macavaney deepct online free

deepct huggingface.co is an online trial and call api platform, which integrates deepct's modeling effects, including api services, and provides a free online trial of deepct, you can try deepct online for free by clicking the link below.

macavaney deepct online free url in huggingface.co:

https://huggingface.co/macavaney/deepct

deepct install

deepct is an open source model from GitHub that offers a free installation service, and any user can find deepct on GitHub to install. At the same time, huggingface.co provides the effect of deepct install, users can directly use deepct installed effect in huggingface.co for debugging and trial. It also supports api for free installation.