TuringsSolutions/GlobalFunctionCallingTrainingSetLarge
Viewer • Updated • 1k • 88 • 3
How to use TuringsSolutions/PhiGlobalFineTunedAgent with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-generation", model="TuringsSolutions/PhiGlobalFineTunedAgent", trust_remote_code=True) # Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("TuringsSolutions/PhiGlobalFineTunedAgent", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("TuringsSolutions/PhiGlobalFineTunedAgent", trust_remote_code=True)How to use TuringsSolutions/PhiGlobalFineTunedAgent with vLLM:
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "TuringsSolutions/PhiGlobalFineTunedAgent"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "TuringsSolutions/PhiGlobalFineTunedAgent",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'docker model run hf.co/TuringsSolutions/PhiGlobalFineTunedAgent
How to use TuringsSolutions/PhiGlobalFineTunedAgent with SGLang:
# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
--model-path "TuringsSolutions/PhiGlobalFineTunedAgent" \
--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": "TuringsSolutions/PhiGlobalFineTunedAgent",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'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 "TuringsSolutions/PhiGlobalFineTunedAgent" \
--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": "TuringsSolutions/PhiGlobalFineTunedAgent",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'How to use TuringsSolutions/PhiGlobalFineTunedAgent with Docker Model Runner:
docker model run hf.co/TuringsSolutions/PhiGlobalFineTunedAgent
Trained for 45 minutes (3 Epochs on single T4 GPU)
Sample Inputs and Outputs
Instruction: Book me a flight from New York to Los Angeles next Tuesday
for a business trip."
My computer is running slowly. Can you help me fix it?
It's affecting my work."
"What's the traffic like on my way to work?"
We need to plan our commute accordingly," suggested Sarah.
docker model run hf.co/TuringsSolutions/PhiGlobalFineTunedAgent