Text Generation
Transformers
Safetensors
English
gpt2
quotes
quote-generator
text-generation-inference
Instructions to use sarahai/your-inspiration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sarahai/your-inspiration with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="sarahai/your-inspiration")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("sarahai/your-inspiration") model = AutoModelForCausalLM.from_pretrained("sarahai/your-inspiration") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use sarahai/your-inspiration with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "sarahai/your-inspiration" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "sarahai/your-inspiration", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/sarahai/your-inspiration
- SGLang
How to use sarahai/your-inspiration 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 "sarahai/your-inspiration" \ --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": "sarahai/your-inspiration", "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 "sarahai/your-inspiration" \ --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": "sarahai/your-inspiration", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use sarahai/your-inspiration with Docker Model Runner:
docker model run hf.co/sarahai/your-inspiration
Inspirational Quote Generator
Model Description
This model is fine-tuned on a dataset of inspirational quotes to generate new, motivational quotes based on a given seed text. It is based on the GPT-2 architecture.
How to Use
This model can generate a quote based on a seed text provided by the user. The model expects a string of text as input and will return a string containing the inspirational quote.
Here is how to use the model in Python:
from transformers import pipeline
generator = pipeline('text-generation', model='sarahai/your-inspiration')
seed_text = "Life is"
generated_quotes = generator(seed_text, max_length=50, num_return_sequences=1)
for quote in generated_quotes:
print(quote['generated_text'])
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