Instructions to use Yah216/Arabic_poem_meter_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yah216/Arabic_poem_meter_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Yah216/Arabic_poem_meter_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Yah216/Arabic_poem_meter_classification") model = AutoModelForSequenceClassification.from_pretrained("Yah216/Arabic_poem_meter_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ecb3b83a787a1a7fa7d73157f7c169134a38ece94f51fed7b4633c3e59d5a11a
- Size of remote file:
- 541 MB
- SHA256:
- 694a2064d5f6e3d280a91be7ad845c6587c675aef1a344d175b885a2c62bf55b
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