Instructions to use Yah216/Arabic_poem_meter_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yah216/Arabic_poem_meter_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Yah216/Arabic_poem_meter_3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Yah216/Arabic_poem_meter_3") model = AutoModelForSequenceClassification.from_pretrained("Yah216/Arabic_poem_meter_3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4915f2867736715bd683a054bad37623681932a19ed919c36b551e874a516de5
- Size of remote file:
- 2.85 kB
- SHA256:
- 560eb6b2c96e9d76274cac20b145690932fb208bd299842576044d9b6237bcc5
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