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library_name: transformers
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tags: []
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# Model Card for
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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[More Information Needed]
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### Downstream Use [optional]
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### Out-of-Scope Use
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[More Information Needed]
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## Bias, Risks, and Limitations
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[More Information Needed]
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### Recommendations
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## How to Get Started with the Model
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Use the code below to get started with the model.
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### Training Data
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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[More Information Needed]
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## Model Card Authors
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## Model Card Contact
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library_name: transformers
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tags: [story generation, AI creativity, NLP, prompt-based storytelling]
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# Model Card for LoomAI
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## Model Details
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### Model Description
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LoomAI is a fine-tuned 🤗 transformers model designed to generate stories or the beginning of a story based on a user-provided prompt. This model is a key component of the Loomina project, enabling users to interact with AI to kickstart their creative writing process.
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- **Developed by:** Shrujan
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- **Funded by:** Self-funded
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- **Shared by:** Shrujan
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- **Model type:** Transformer-based language model
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- **Language(s) (NLP):** English
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<!-- - **License:** [More Information Needed] -->
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- **Finetuned from model:** LLAMA2
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<!-- ### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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<!-- - **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed] -->
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## Uses
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### Direct Use
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LoomAI is specifically designed to generate story introductions or full stories based on prompts provided by users. It is ideal for writers seeking inspiration or anyone looking to explore creative storytelling.
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### Downstream Use
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LoomAI can be further fine-tuned for specific genres or styles of storytelling, or integrated into applications that assist in creative writing.
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### Out-of-Scope Use
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The model is not intended for factual content generation or use cases requiring high accuracy in information. It should not be used for generating harmful, misleading, or inappropriate content.
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## Bias, Risks, and Limitations
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The model may generate biased or inappropriate content, as it relies on data that could include such biases. Users should carefully review outputs, especially in sensitive contexts.
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### Recommendations
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- Implement content filters to manage the generation of inappropriate material.
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- Encourage user supervision to ensure content aligns with intended use.
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<!-- ## How to Get Started with the Model
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Use the code below to get started with the model.
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### Training Data
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The model was fine-tuned on a dataset curated for storytelling, including a variety of story beginnings, plots, and narrative styles to enhance its ability to generate engaging story introductions.
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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<!-- #### Preprocessing [optional]
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[More Information Needed] -->
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<!-- #### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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<!-- #### Speeds, Sizes, Times [optional] -->
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed] -->
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## Evaluation
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[More Information Needed]
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## Model Card Authors
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Shrujan
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## Model Card Contact
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