50 lines
1.3 KiB
Markdown
50 lines
1.3 KiB
Markdown
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---
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license: apache-2.0
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language:
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- en
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base_model:
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- Qwen/Qwen2.5-7B-Instruct
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tags:
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- art
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---
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# MoviiGen1.1 Prompt Rewriter
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This is a fine-tuned version of Qwen2.5-7B-Instruct by MoviiGen1.1 corresponding dataset.
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# Quick Start
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_name = "ZuluVision/MoviiGen1.1_Prompt_Rewriter"
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model = AutoModelForCausalLM.from_pretrained(
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model_name,
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torch_dtype="auto",
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device_map="auto"
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)
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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prompt = "A beautiful girl is playing with a dog in a park."
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messages = [
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{"role": "system", "content": "You are an advanced AI model tasked with generating and extending structured and detailed video captions. You must respond in the language used by the user."},
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{"role": "user", "content": prompt}
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]
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text = tokenizer.apply_chat_template(
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messages,
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tokenize=False,
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add_generation_prompt=True
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)
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model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
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generated_ids = model.generate(
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**model_inputs,
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max_new_tokens=1024
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)
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generated_ids = [
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output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
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]
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response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
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```
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