Text Classification
Transformers
PyTorch
TensorFlow
TensorBoard
Arabic
English
bert
BERT
Text Classification
relation
text-embeddings-inference
Instructions to use ychenNLP/arabic-relation-extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ychenNLP/arabic-relation-extraction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ychenNLP/arabic-relation-extraction")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ychenNLP/arabic-relation-extraction") model = AutoModelForSequenceClassification.from_pretrained("ychenNLP/arabic-relation-extraction") - Notebooks
- Google Colab
- Kaggle
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## How to use
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```python
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>>> from transformers import pipeline, AutoModelForTokenClassification, AutoTokenizer, AuotoModelForSequenceClassification
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## How to use
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Workflow of a relation extraction model:
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1. Input --> NER model --> Entities
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2. Input sentence + Entity 1 + Entity 2 --> Relation Classification Model --> Relation Type
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```python
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>>> from transformers import pipeline, AutoModelForTokenClassification, AutoTokenizer, AuotoModelForSequenceClassification
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