Instructions to use obake2ai/MaryGPT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use obake2ai/MaryGPT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="obake2ai/MaryGPT")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("obake2ai/MaryGPT") model = AutoModelForCausalLM.from_pretrained("obake2ai/MaryGPT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use obake2ai/MaryGPT with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "obake2ai/MaryGPT" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "obake2ai/MaryGPT", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/obake2ai/MaryGPT
- SGLang
How to use obake2ai/MaryGPT 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 "obake2ai/MaryGPT" \ --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": "obake2ai/MaryGPT", "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 "obake2ai/MaryGPT" \ --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": "obake2ai/MaryGPT", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use obake2ai/MaryGPT with Docker Model Runner:
docker model run hf.co/obake2ai/MaryGPT
Update README.md
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README.md
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@@ -15,6 +15,7 @@ This model is **fine-tuned exclusively on text from Mary Shelley's 1818 novel ["
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This will be used as a base model for [**AI Artist Yuma Kishi👤**](https://obake2ai.com/)’s activity, including art creation and exhibition curation.
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## Training Data Sources
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All data was obtained ethically and in compliance with the site's terms and conditions.
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This will be used as a base model for [**AI Artist Yuma Kishi👤**](https://obake2ai.com/)’s activity, including art creation and exhibition curation.
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<p align="right"><em>Portrait of Mary Shelley (1840, by Richard Rothwell, in the collection of the National Portrait Gallery)</em></p>
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## Training Data Sources
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All data was obtained ethically and in compliance with the site's terms and conditions.
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