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license: bigscience-bloom-rail-1.0 |
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language: |
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- fa |
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--- |
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Base Model: |
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https://huggingface.co./bigscience/bloomz-7b1 |
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--- |
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Model fine-tuned on a real news dataset and optimized for neural news generation. |
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Note: Persian was not in pretraining. |
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```python |
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from transformers import AutoModelForSequenceClassification, AutoTokenizer, pipeline |
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# Load model and tokenizer |
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tokenizer = AutoTokenizer.from_pretrained("bigscience/bloomz-7b1") |
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model = AutoModelForSequenceClassification.from_pretrained('tum-nlp/neural-news-generator-bloomz-7b1-fa') |
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# Create the pipeline for neural news generation and set the repetition penalty >1.1 to punish repetition. |
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generator = pipeline('text-generation', |
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model=model, |
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tokenizer=tokenizer, |
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repetition_penalty=1.2) |
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# Define the prompt |
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prompt = " [EOP] به دنبال «شورش مسلحانه» مزدوران نظامی واگنر و تصرف برخی " |
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# Generate |
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generator(prompt, max_length=1000, num_return_sequences=1) |
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``` |
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Trained on 6k datapoints (including all splits) from: |
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https://huggingface.co./datasets/RohanAiLab/persian_news_dataset |
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