Instructions to use Equall/SaulLM-141-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Equall/SaulLM-141-Base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Equall/SaulLM-141-Base")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Equall/SaulLM-141-Base") model = AutoModelForCausalLM.from_pretrained("Equall/SaulLM-141-Base") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Equall/SaulLM-141-Base with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Equall/SaulLM-141-Base" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Equall/SaulLM-141-Base", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Equall/SaulLM-141-Base
- SGLang
How to use Equall/SaulLM-141-Base 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 "Equall/SaulLM-141-Base" \ --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": "Equall/SaulLM-141-Base", "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 "Equall/SaulLM-141-Base" \ --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": "Equall/SaulLM-141-Base", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Equall/SaulLM-141-Base with Docker Model Runner:
docker model run hf.co/Equall/SaulLM-141-Base
can this get me out of a traffic ticket?
#1
by Jfresco1 - opened
Can this model get me out of a traffic ticket?
If you're going to use this AI to fight your legal case it's not illegal for you to have an AI as an attorney but you will have to make sure it's output when it comes to voice works properly.