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tags: |
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- Text-to-Video |
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license: mit |
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pipeline_tag: text-to-video |
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--- |
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# Text-to-Video Model with Hugging Face Transformers |
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This repository contains a text-to-video generation model fine-tuned using the Hugging Face Transformers library. The model has been trained on various datasets over approximately 1000 steps to generate video content from textual input. |
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## Overview |
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The text-to-video model developed here is based on Hugging Face's Transformers, specializing in translating textual descriptions into corresponding video sequences. It has been fine-tuned on diverse datasets, enabling it to understand and visualize a wide range of textual prompts, generating relevant video content. |
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## Features |
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- Transforms text input into corresponding video sequences |
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- Fine-tuned using Hugging Face Transformers with datasets spanning various domains |
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- Capable of generating diverse video content based on textual descriptions |
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- Handles nuanced textual prompts to generate meaningful video representations |