Text Generation
Transformers
PyTorch
English
gpt2
transformer
pre-training
text-generation-inference
Instructions to use MustEr/gpt2-elite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MustEr/gpt2-elite with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="MustEr/gpt2-elite")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("MustEr/gpt2-elite") model = AutoModelForCausalLM.from_pretrained("MustEr/gpt2-elite", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use MustEr/gpt2-elite with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "MustEr/gpt2-elite" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "MustEr/gpt2-elite", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/MustEr/gpt2-elite
- SGLang
How to use MustEr/gpt2-elite 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 "MustEr/gpt2-elite" \ --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": "MustEr/gpt2-elite", "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 "MustEr/gpt2-elite" \ --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": "MustEr/gpt2-elite", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use MustEr/gpt2-elite with Docker Model Runner:
docker model run hf.co/MustEr/gpt2-elite
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license: apache-2.0
language:
- en
tags:
- gpt2
- transformer
- pre-training
---
**--> DO NOT DOWNLOAD - Research Purposes ONLY <--**
# gpt2-elite: Elevating Language Generation with a Specialized Dataset
Welcome to the gpt2-elite repository! This project uses the renowned GPT-2 model to enhance language generation by fine-tuning it on a meticulously curated domain-specific dataset. The outcome is a finely tuned language generation model capable of producing exceptional text in a range of contexts.
## Features
- **GPT-2 Foundation**: Our model is built upon the GPT-2 architecture, a cutting-edge language model known for its impressive text generation capabilities.
- **Tailored Dataset**: Unlike the standard GPT-2, our model has undergone training with a carefully selected domain-specific dataset. This empowers the model to generate contextually relevant and precise text tailored to a particular topic or field.
- **Enhanced Text Quality**: The fine-tuning process using our specialized dataset has led to remarkable text quality, coherence, and relevance improvements in the generated content.
## Examples
Here are a few examples showcasing the prowess of gpt2-elite:
- **Prompt**: "In a galaxy far, far away"
- **Generated Text**: "In a galaxy far, far away, diverse alien species coexist, merging advanced technologies with ancient mysticism."
- **Prompt**: "Climate change"
- **Generated Text**: "Climate change poses an urgent global challenge that demands immediate action. Escalating temperatures and rising sea levels endanger ecosystems and human settlements across the globe."
## Contributions
Contributions to gpt2-elite are highly appreciated! If you have ideas for enhancements, encounter issues, or wish to expand the model's capabilities, please submit a pull request.
## Credits
gpt2-elite was developed by MustEr. We extend our gratitude to the Hugging Face team for their invaluable contributions to open-source projects.
## License
This project is licensed under the [MIT License](LICENSE).
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Feel free to reach out with questions, feedback, or collaboration proposals. Enjoy generating text with gpt2-elite!
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