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", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ychenNLP/arabic-relation-extraction") model = AutoModelForSequenceClassification.from_pretrained("ychenNLP/arabic-relation-extraction", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a6bff30986ba0be69c47420436e58bfa2adbc437041552e2080fbce5cb929fdb
- Size of remote file:
- 996 MB
- SHA256:
- 277f1bc63e56cf1af6265f17764d03c3635d0b30328d16b8c4314186ae561f2a
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