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")# pip install -U transformers accelerate # 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
Download pytorch_model.bin from obake2ai/MaryGPT: direct link, hf CLI and curl.
- Browser
- Download file 6.32 GB
-
https://huggingface.co/obake2ai/MaryGPT/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://obake2ai/MaryGPT/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/obake2ai/MaryGPT/resolve/main/pytorch_model.bin
6.32 GB
- Xet hash:
- efe14aa69c2e40594f599a0f12a5b0e1a80ad02f631e3a8edce34192de8493e2
- Size of remote file:
- 6.32 GB
- SHA256:
- a9534bff3997ef2e9337c739a1292b0c5b4dc27787d80670dbea2d8a23ee6430
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