Instructions to use glaiveai/glaive-function-calling-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use glaiveai/glaive-function-calling-v1 with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="glaiveai/glaive-function-calling-v1", trust_remote_code=True)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("glaiveai/glaive-function-calling-v1", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("glaiveai/glaive-function-calling-v1", trust_remote_code=True)

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use glaiveai/glaive-function-calling-v1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "glaiveai/glaive-function-calling-v1"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "glaiveai/glaive-function-calling-v1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/glaiveai/glaive-function-calling-v1

SGLang

How to use glaiveai/glaive-function-calling-v1 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 "glaiveai/glaive-function-calling-v1" \
    --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": "glaiveai/glaive-function-calling-v1",
		"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 "glaiveai/glaive-function-calling-v1" \
        --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": "glaiveai/glaive-function-calling-v1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use glaiveai/glaive-function-calling-v1 with Docker Model Runner:
```
docker model run hf.co/glaiveai/glaive-function-calling-v1
```

Multiple function in the same request.

by agoncharenko1992 - opened Nov 23, 2023

Discussion

agoncharenko1992

Nov 23, 2023

Hi! Thank you for great dataset and network!

I've got a question. Is it OK that your model 'glaiveai/glaive-function-calling-v1' does not support multiple function call in single request?

For example:

SYSTEM: You are an helpful assistant who has access to the following functions to help the user, you can use the functions if needed-{
"name": "temperature_setup",
"description": "Set up temperture for specific degrees.",
"parameters": {
"degree": {
"type": "integer",
"description": "desires temperature in celsium degrees"
},
"required": [
"degree"
]
}
}{
"name": "doors_locking",
"description": "locks doors"
}
USER:lock the door and set temperature 20 degrees.

ASSISTANT: {"name": "temperature_setup", "arguments": '{"degree": 20}'}

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

· Sign up or log in to comment