Instructions to use MayaPH/FinOPT-Washington with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayaPH/FinOPT-Washington with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="MayaPH/FinOPT-Washington")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("MayaPH/FinOPT-Washington") model = AutoModelForCausalLM.from_pretrained("MayaPH/FinOPT-Washington") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use MayaPH/FinOPT-Washington with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "MayaPH/FinOPT-Washington" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "MayaPH/FinOPT-Washington", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/MayaPH/FinOPT-Washington
- SGLang
How to use MayaPH/FinOPT-Washington 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 "MayaPH/FinOPT-Washington" \ --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": "MayaPH/FinOPT-Washington", "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 "MayaPH/FinOPT-Washington" \ --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": "MayaPH/FinOPT-Washington", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use MayaPH/FinOPT-Washington with Docker Model Runner:
docker model run hf.co/MayaPH/FinOPT-Washington
Commit History
Update config.json cdd8a6c
Update README.md 0c5d723
Adding `safetensors` variant of this model (#1) 9b61c78
Update README.md ffe268e
Update README.md 3f44e4f
Update README.md 29de03a
Update README.md 623116e
Update README.md fff6602
Update README.md a797b02
Create README.md 1cf36b2
Upload tokenizer 5cead53
Upload tokenizer 5022707
Upload OPTForCausalLM fdd4c93
initial commit ea604ac
Jasper Kyle Catapang commited on