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  metrics:
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  - accuracy
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  ---
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- # ScriptGPT-medium
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  ## πŸ–ŠοΈ Model description
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- ScriptGPT-medium is a language model trained on a dataset of 250 YouTube videos that cover different domains of Youtube videos.
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- ScriptGPT-medium is a Causal language transformer. The model resembles the GPT2 architecture, the model is a Causal Language model meaning it predicts the probability of a sequence of words based on the preceding words in the sequence.
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  It generates a probability distribution over the next word given the previous words, without incorporating future words.
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- The goal of ScriptGPT-medium is to generate scripts for Youtube videos that are coherent, informative, and engaging.
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  This can be useful for content creators who are looking for inspiration or who want to automate the process of generating video scripts.
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  To use ScriptGPT-medium, users can provide a prompt or a starting sentence, and the model will generate a sequence of words that follow the context and style of the training data.
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  Models
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- - [Script_GPT](https://huggingface.co/SRDdev/Script_GPT) : AI content Model
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- - [ScriptGPT-small](https://huggingface.co/SRDdev/ScriptGPT-small) : Generalized Content Model
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  More models are coming soon...
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  ## πŸ›’ Intended uses
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- The intended uses of ScriptGPT-medium include generating scripts for videos, providing inspiration for content creators, and automating the process of generating video scripts.
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  ## πŸ“ How to use
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  ```python
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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- tokenizer = AutoTokenizer.from_pretrained("SRDdev/ScriptGPT-medium")
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- model = AutoModelForCausalLM.from_pretrained("SRDdev/ScriptGPT-medium")
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  ```
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  2. __Pipeline__
 
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  metrics:
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  - accuracy
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  ---
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+ # ScriptForge-medium
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  ## πŸ–ŠοΈ Model description
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+ ScriptForge-medium is a language model trained on a dataset of 250 YouTube videos that cover different domains of Youtube videos.
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+ ScriptForge-medium is a Causal language transformer. The model resembles the GPT2 architecture, the model is a Causal Language model meaning it predicts the probability of a sequence of words based on the preceding words in the sequence.
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  It generates a probability distribution over the next word given the previous words, without incorporating future words.
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+ The goal of ScriptForge-medium is to generate scripts for Youtube videos that are coherent, informative, and engaging.
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  This can be useful for content creators who are looking for inspiration or who want to automate the process of generating video scripts.
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  To use ScriptGPT-medium, users can provide a prompt or a starting sentence, and the model will generate a sequence of words that follow the context and style of the training data.
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  Models
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+ - [ScriptForge](https://huggingface.co/SRDdev/ScriptForge) : AI content Model
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+ - [ScriptForge-small](https://huggingface.co/SRDdev/ScriptForge-medium) : Generalized Content Model
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  More models are coming soon...
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  ## πŸ›’ Intended uses
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+ The intended uses of ScriptForge-medium include generating scripts for videos, providing inspiration for content creators, and automating the process of generating video scripts.
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  ## πŸ“ How to use
 
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  ```python
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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+ tokenizer = AutoTokenizer.from_pretrained("SRDdev/ScriptForge-medium")
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+ model = AutoModelForCausalLM.from_pretrained("SRDdev/ScriptForge-medium")
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  ```
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  2. __Pipeline__