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
- Xet hash:
- fa62405a2e43a7ff527542e0d76ed1dd8f7554cdb1839025c39b8ef6fa9bb147
- Size of remote file:
- 498 MB
- SHA256:
- 300331f7f90ded4d185e3bf099dcec9b8fed82c97c056701d83b59b3bf5ba0a0
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