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Model: ZuluVision/MoviiGen1.1_Prompt_Rewriter
Source: Original Platform

README.md

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