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")# pip install -U transformers accelerate # 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
Download sample_input.pkl from Yah216/Arabic_poem_meter_classification: direct link, hf CLI and curl.
- Browser
- Download file 2.85 kB
-
https://huggingface.co/Yah216/Arabic_poem_meter_classification/resolve/main/sample_input.pkl
- Command line
-
hf download hf://Yah216/Arabic_poem_meter_classification/sample_input.pkl
-
curl -L -o sample_input.pkl https://huggingface.co/Yah216/Arabic_poem_meter_classification/resolve/main/sample_input.pkl
2.85 kB
- Xet hash:
- 29950dfbe8889ef51b3fcfcfd6d7304dd081f0949ec6af0b07e6d29fdb75b315
- Size of remote file:
- 2.85 kB
- SHA256:
- e97dcfedbe473226de8c76467dc06dc18d215f727ecdecaae64957daf487f3a4
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