Text2Graph (code, models)

code/Text2Graph.rar

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c551b85bea4b054f69218ca31106056f487cea4382edb39dafc1b6de5f4916e0
+size 19610915

models/Reacubeth_text2graph/.gitattributes

@@ -0,0 +1,34 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

models/Reacubeth_text2graph/README.md

@@ -0,0 +1,13 @@
+---
+license: mit
+---
+
+# Text2Graph
+Text2Graph model trained with T5
+
+[Github](https://github.com/xyjigsaw/Text2Graph)
+
+Similar to [GraphGPT](https://github.com/varunshenoy/GraphGPT), this model converts unstructured natural language into a knowledge graph. We provide the trained T5 model for triple extraction. 
+
+## Model
+We select T5-base model for training with WebNLG dataset.

models/Reacubeth_text2graph/source.txt

@@ -0,0 +1 @@
+https://huggingface.co/Reacubeth/text2graph

models/Reacubeth_text2graph/webNLG_model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d75b06e4402c8ed037f71494d26d5e529e5a850a0d33513fc4b2e1a22562c766
+size 891703743

Описание.txt

@@ -0,0 +1,23 @@
+Модель Text2Graph, обученная с помощью T5 (аналогично GraphGPT).
+
+* * *
+
+Подобно GraphGPT, эта модель преобразует неструктурированный естественный язык в граф знаний. Мы предоставляем обученную модель T5 для тройной экстракции.
+
+МОДЕЛЬ
+
+Мы выбираем базовую модель T5 для обучения с набором данных WebNLG. Файл модели можно скачать с Huggingface:
+https://huggingface.co/Reacubeth/text2graph
+
+КАК ЗАПУСТИТЬ
+
+1. Бэкэнд
+Обратите внимание, что вам необходимо предварительно загрузить нашу модель T5 и поместить её в папку backend:
+cd backend
+pip install -r requirements.txt 
+python apiCore.py
+
+2. Фронтенд:
+cd frontend
+npm install
+npm run start