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Hi Team Hugging face
Can you please provide a Q and A example for retrieval of an answer for a given text using DPR,I've read the documentation but couldn't find it. Would be of great help.
Than…
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First of all, thanks for this project! On some of my pdf Documents, the exact hierarchical document structure was extracted.
Unfortunately, the result was not that good for some documents, especial…
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---
name: nlpsummarize
about: Python package that provides a nice summary of all character columns in a pandas dataframe.
---
Submitting Author: Vignesh Chandrasekaran (@vigchandra), Karlos Mura…
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Hi, I gave vespa a first go and have some questions. In general it looks quite easy to get started with "standard" search models. My use case is to create a search app that uses a custom huggingface B…
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Hi @MXueguang - when everything is implemented DPR should probably get it's own separate replication page, like for MS MARCO: https://github.com/castorini/pyserini/blob/master/docs/experiments-msmarco…
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InMemoryDocumentStore is very time costing,so can it saved?
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## 질문
- 새로운 Dense Retrieval를 고민하다가 DPR 오픈소스를 사용해보려고 합니다.
- 그런데, training 시에 기존에 학습된 데이터셋 형태로 맞춰달라는 요구사항이 있었습니다.
```python
{
"dataset": str,
"question": str,
"answers…
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일단 제가 나중에 보려고 이해한 내용을 적어보았고, 아직 안보신 분들께도 도움이 될 수도 있어 올립니다 😊
## run.py 동작
`python -m run strategies ST01 --run_cnt 1`
- `tool.get_args`로 argument 가져오기
- `train_reader` 실행
1. argument setup - …
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I am trying to apply all the available features on MovieLens dataset, coming up with mixed DCN and Deep layers architecture.
I am not sure whether I have done it in the correct ways. After extracting…
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## 📸 코드
```python
import faiss
from sklearn.feature_extraction.text import TfidfVectorizer
from tqdm.auto import tqdm
import pandas as pd
import pickle
import json
import os
import numpy as np
fr…