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
Fix `language` tag (#1)
Browse files- Fix `language` tag (e3b12e0476bba77381715e401bbf8254188ba44b)
Co-authored-by: Julien Chaumond <julien-c@users.noreply.huggingface.co>
README.md
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- BERT
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- Text Classification
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- relation
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language:
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license: mit
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datasets:
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- ACE2005
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- BERT
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- Text Classification
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- relation
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language:
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- ar
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- en
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license: mit
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datasets:
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- ACE2005
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