Instructions to use AlfredLeeee/testmodel_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use AlfredLeeee/testmodel_classifier with Transformers:

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

pipe = pipeline("text-generation", model="AlfredLeeee/testmodel_classifier")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("AlfredLeeee/testmodel_classifier")
model = AutoModelForCausalLM.from_pretrained("AlfredLeeee/testmodel_classifier", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use AlfredLeeee/testmodel_classifier with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/AlfredLeeee/testmodel_classifier

SGLang

How to use AlfredLeeee/testmodel_classifier 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 "AlfredLeeee/testmodel_classifier" \
    --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": "AlfredLeeee/testmodel_classifier",
		"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 "AlfredLeeee/testmodel_classifier" \
        --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": "AlfredLeeee/testmodel_classifier",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use AlfredLeeee/testmodel_classifier with Docker Model Runner:
```
docker model run hf.co/AlfredLeeee/testmodel_classifier
```

杀杀杀

by AlfredLeeee - opened Aug 31, 2022

Discussion

AlfredLeeee

Owner Aug 31, 2022

实时

AlfredLeeee changed discussion status to closed Aug 31, 2022

AlfredLeeee changed discussion status to open Aug 31, 2022

chaogulh

Aug 31, 2022

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