Model Card for Model ID
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Model Details
Model Description
This model is designed to convert videos into textual summaries. It utilizes a combination of models from different libraries to perform the video-to-text conversion.
Libraries and Models Used
library_name: transformers
Library 1: OpenAI
- Model Name: whisper-large-v2
- Model URL: OpenAI Whisper Large v2
Library 2: Facebook
- Model Name: bart-large-cnn
- Model URL: Facebook BART Large CNN
Please note that this model is built using a combination of state-of-the-art models from different libraries, and it offers enhanced performance for video summarization tasks.
Usage
To use the API endpoint for this model, you can make a POST request to the following URL:
Model Details
Name: Vid2Sum
Pipeline Type: video-transcription
Architecture: Transformer
Description: This model generates summary text based on a video input.
License: Apache-2.0
Language: English
Tags: text-generation, transformer, creative-writing
Developed by: Eden
Shared by [optional]: [More Information Needed]
Model type: Video-to-Text Conversion
Language(s) (NLP): English
License: [More Information Needed]
Finetuned from model [optional]: [More Information Needed]
Model Sources [optional]
- Repository: https://huggingface.co/EdenSw/Vid2Sum/tree/main
- Paper [optional]: [More Information Needed]
- Demo [optional]: [More Information Needed]
Uses
Direct Use
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Downstream Use [optional]
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Out-of-Scope Use
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Bias, Risks, and Limitations
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Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
How to Get Started with the Model
Use the code below to get started with the model.
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Training Details
Training Data
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Training Procedure
Preprocessing [optional]
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Training Hyperparameters
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Speeds, Sizes, Times [optional]
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Evaluation
Testing Data, Factors & Metrics
Testing Data
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Factors
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Metrics
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Results
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Summary
Model Examination [optional]
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Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
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Technical Specifications [optional]
Model Architecture and Objective
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Compute Infrastructure
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Hardware
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Software
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Citation [optional]
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