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README.md
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---
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license: mit
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---
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license: mit
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language:
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- ar
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base_model:
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- iko-01/ARABIC_poetry
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pipeline_tag: text-generation
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library_name: transformers
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---
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```python
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from transformers import pipeline
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gen = pipeline("text-generation", model="iko-01/ARABIC_poetry2", tokenizer="iko-01/ARABIC_poetry2", device=0 if torch.cuda.is_available() else -1)
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# ضع هنا أمثلة الاختبار (كلمات مفردة أو جمل قصيرة) — يمكنك تعديلها أو إضافة المزيد
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prompts = [
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"يا لَطيفَ",
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"قَدْ سمعْتُ",
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"حينَ اشتدَّ",
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"يا ذاكرةَ",
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"قَلبي",
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"في الليلِ",
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]
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results = []
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for p in prompts:
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out = gen(p,
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max_new_tokens=150,
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do_sample=True,
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top_k=50,
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top_p=0.95,
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temperature=0.8,
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num_return_sequences=1)
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text = out[0]["generated_text"]
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# نريد فقط الجزء الجديد بعد الـ prompt (أو يمكن إخراج السطر كله)
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# هنا نحتفظ بالنص الكامل لمرونة العرض
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results.append({"prompt": p, "output": text})
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# عرض سريع
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for r in results:
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print("PROMPT:", r["prompt"])
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print("OUTPUT:", r["output"])
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print("-"*40)
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```
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