Instructions to use archit11/small-function-calling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use archit11/small-function-calling with Transformers:

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

pipe = pipeline("text-generation", model="archit11/small-function-calling")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("archit11/small-function-calling")
model = AutoModelForCausalLM.from_pretrained("archit11/small-function-calling")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use archit11/small-function-calling with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "archit11/small-function-calling"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "archit11/small-function-calling",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/archit11/small-function-calling

SGLang

How to use archit11/small-function-calling 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 "archit11/small-function-calling" \
    --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": "archit11/small-function-calling",
		"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 "archit11/small-function-calling" \
        --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": "archit11/small-function-calling",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use archit11/small-function-calling with Docker Model Runner:
```
docker model run hf.co/archit11/small-function-calling
```

archit11 commited on Sep 26, 2024

Commit

450d064

verified ·

1 Parent(s): 05f3381

archit11/nous-fn-finetuned-model

Browse files

Files changed (2) hide show

runs/Sep26_12-26-11_f57f1acbd579/events.out.tfevents.1727353572.f57f1acbd579.30.3 +3 -0
training_args.bin +1 -1

runs/Sep26_12-26-11_f57f1acbd579/events.out.tfevents.1727353572.f57f1acbd579.30.3 ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:af6f7fde64958993a4f57efc82c75a8249ca02f37f4dd6fe660e446e3de02981
+size 5381

training_args.bin CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fdcc514972bdbd8c76671b859d85a1515b3472ad0265bbbe79a7a519b8520307
 size 5176

 version https://git-lfs.github.com/spec/v1
+oid sha256:fdf3c36fa09c8ce945afb4611b691116f3143f40021ff6e2c49da4025f2a19b0
 size 5176