Instructions to use OpenGenerativeAI/testModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenGenerativeAI/testModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="OpenGenerativeAI/testModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("OpenGenerativeAI/testModel") model = AutoModelForCausalLM.from_pretrained("OpenGenerativeAI/testModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use OpenGenerativeAI/testModel with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "OpenGenerativeAI/testModel" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "OpenGenerativeAI/testModel", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/OpenGenerativeAI/testModel
- SGLang
How to use OpenGenerativeAI/testModel 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 "OpenGenerativeAI/testModel" \ --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": "OpenGenerativeAI/testModel", "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 "OpenGenerativeAI/testModel" \ --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": "OpenGenerativeAI/testModel", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use OpenGenerativeAI/testModel with Docker Model Runner:
docker model run hf.co/OpenGenerativeAI/testModel
Commit History
-
Adding `safetensors` variant of this model
Verified signatureThis is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.377323b -
Upload pytorch_model.bin
Verified signatureed260ed -
Delete model.safetensors
Verified signature52f8916 -
Delete pytorch_model.bin
Verified signaturef4406af -
Upload model.safetensors
Verified signature7ffb3dc -
Upload pytorch_model.bin
Verified signature7c58a7b -
Delete pytorch_model.bin
Verified signature6780693 -
Upload pytorch_model.bin
Verified signature773647c -
Delete pytorch_model.bin
Verified signature26e855d -
Upload pytorch_model.bin
Verified signature3fc1f16 -
Delete pytorch_model.bin
Verified signatureb3549b4 -
Upload pytorch_model.bin
Verified signature4d2dae8 -
Delete pytorch_model.bin
Verified signature4234bbd -
Delete model.safetensors
Verified signature3258922 -
Update README.md
Verified signaturef3c59b9 -
Upload 9 files
Verified signatureffceb72 -
initial commit
Verified signature875d712