ai-forever / paper_persi_chat

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Model's Last Updated: Oktober 04 2023
text-generation

Introduction of paper_persi_chat

Model Details of paper_persi_chat

This is a weights storage for the PaperPersiChat pipeline models.

The pipeline is presented in the paper PaperPersiChat: Scientific Paper Discussion Chatbot using Transformers and Discourse Flow Management

Installation
git lfs install
git clone https://huggingface.co/ai-forever/paper_persi_chat
Usage
  1. Full pipeline:

See more details on https://github.com/ai-forever/paper_persi_chat

  1. Single models:

Inference examples: Open In Colab

Three models ( Summarizer , QA module and Response Generator ) can be imported using transformers library after weights downloading:

from transformers import BartForConditionalGeneration, BartTokenizer
model_name_or_path = 'paper_persi_chat/distilbart_summarizer' # or 'paper_persi_chat/bart_response_generator'
tokenizer = BartTokenizer.from_pretrained(model_name_or_path)
model =  BartForConditionalGeneration.from_pretrained(model_name_or_path).to('cuda')
from transformers import pipeline
model = pipeline("question-answering", model='paper_persi_chat/deberta_qa')
pred = model(question,
             context,
             max_seq_len=384,
             doc_stride=64,
             max_answer_len=384)
Citation

If you find our models helpful, feel free to cite our publication PaperPersiChat: Scientific Paper Discussion Chatbot using Transformers and Discourse Flow Management :

@inproceedings{chernyavskiy-etal-2023-paperpersichat,
    title = "{P}aper{P}ersi{C}hat: Scientific Paper Discussion Chatbot using Transformers and Discourse Flow Management",
    author = "Chernyavskiy, Alexander  and
      Bregeda, Max  and
      Nikiforova, Maria",
    booktitle = "Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue",
    month = sep,
    year = "2023",
    address = "Prague, Czechia",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.sigdial-1.54",
    pages = "584--587",
}

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More Information About paper_persi_chat huggingface.co Model

More paper_persi_chat license Visit here:

https://choosealicense.com/licenses/mit

paper_persi_chat huggingface.co

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

paper_persi_chat huggingface.co Url

https://huggingface.co/ai-forever/paper_persi_chat

ai-forever paper_persi_chat online free

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

ai-forever paper_persi_chat online free url in huggingface.co:

https://huggingface.co/ai-forever/paper_persi_chat

paper_persi_chat install

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

paper_persi_chat install url in huggingface.co:

https://huggingface.co/ai-forever/paper_persi_chat

Url of paper_persi_chat

paper_persi_chat huggingface.co Url

Provider of paper_persi_chat huggingface.co

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