Instructions to use nuprl/stenotype with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nuprl/stenotype with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="nuprl/stenotype")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("nuprl/stenotype") model = AutoModelForCausalLM.from_pretrained("nuprl/stenotype", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use nuprl/stenotype with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "nuprl/stenotype" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "nuprl/stenotype", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/nuprl/stenotype
- SGLang
How to use nuprl/stenotype 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 "nuprl/stenotype" \ --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": "nuprl/stenotype", "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 "nuprl/stenotype" \ --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": "nuprl/stenotype", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use nuprl/stenotype with Docker Model Runner:
docker model run hf.co/nuprl/stenotype
| license: bigscience-openrail-m | |
| extra_gated_prompt: >- | |
| ## Model License Agreement | |
| Please read the BigCode [OpenRAIL-M | |
| license](https://huggingface.co/spaces/bigcode/bigcode-model-license-agreement) | |
| agreement before accepting it. | |
| extra_gated_fields: | |
| I accept the above license agreement, and will use the Model complying with the set of use restrictions and sharing requirements: checkbox | |
| # StenoType | |
| Type migration with large language models for code. Migrates JavaScript to | |
| TypeScript by predicting type annotations and generating type definitions. | |
| This model is based on [StarCoderBase-7b](https://huggingface.co/bigcode/starcoderbase-7b) | |
| and fine-tuned on TypeScript examples derived from [The Stack](https://huggingface.co/datasets/bigcode/the-stack-dedup). | |
| Please see the [GitHub](https://github.com/nuprl/StenoType/) repository for | |
| more information. | |