Instructions to use SinaLab/arabic-relation-extraction-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SinaLab/arabic-relation-extraction-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SinaLab/arabic-relation-extraction-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SinaLab/arabic-relation-extraction-model") model = AutoModelForSequenceClassification.from_pretrained("SinaLab/arabic-relation-extraction-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 88bb2b0c7b48150e7ee1b0b60c93a5d6bc01df0e06697861c261f7f42ebee737
- Size of remote file:
- 651 MB
- SHA256:
- d70fb8de60f89fa2845ddb1fdea50461dbbd04e4325d552a695dd7009c13676b
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