Text Generation
Transformers
PyTorch
TensorBoard
Safetensors
English
gpt2
Text-Generation
text-generation-inference
Instructions to use SRDdev/ScriptForge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SRDdev/ScriptForge with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="SRDdev/ScriptForge")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("SRDdev/ScriptForge") model = AutoModelForCausalLM.from_pretrained("SRDdev/ScriptForge") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use SRDdev/ScriptForge with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "SRDdev/ScriptForge" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "SRDdev/ScriptForge", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/SRDdev/ScriptForge
- SGLang
How to use SRDdev/ScriptForge with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "SRDdev/ScriptForge" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "SRDdev/ScriptForge", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "SRDdev/ScriptForge" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "SRDdev/ScriptForge", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use SRDdev/ScriptForge with Docker Model Runner:
docker model run hf.co/SRDdev/ScriptForge
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- Text-Generation
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---
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#
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## 🖊️ Model description
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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
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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, 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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More models are coming soon...
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## 🛒 Intended uses
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The intended uses of
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automating the process of generating video scripts.
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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tokenizer = AutoTokenizer.from_pretrained("SRDdev/
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model = AutoModelForCausalLM.from_pretrained("SRDdev/
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```
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2. __Pipeline__
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- Text-Generation
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---
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# ScriptForge
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## 🖊️ Model description
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ScriptForge is a language model trained on a dataset of 5,000 YouTube videos that explain artificial intelligence (AI) concepts.
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ScriptForge is a Causal language transformer. The model resembles the GPT2 architecture,
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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 is to generate scripts for AI 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, 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/Script_GPT) : AI content Model
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- [ScriptForge-small](https://huggingface.co/SRDdev/ScriptGPT-small) : Generalized Content Model
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More models are coming soon...
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## 🛒 Intended uses
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The intended uses of ScriptForge include generating scripts for videos that explain artificial intelligence concepts, providing inspiration for content creators, and
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automating the process of generating video scripts.
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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tokenizer = AutoTokenizer.from_pretrained("SRDdev/ScriptForge")
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model = AutoModelForCausalLM.from_pretrained("SRDdev/ScriptForge")
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```
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2. __Pipeline__
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