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

Libraries

How to use pgfeldman/Yelp_Chinese with Transformers:

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

pipe = pipeline("text-generation", model="pgfeldman/Yelp_Chinese")

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

tokenizer = AutoTokenizer.from_pretrained("pgfeldman/Yelp_Chinese")
model = AutoModelForCausalLM.from_pretrained("pgfeldman/Yelp_Chinese", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use pgfeldman/Yelp_Chinese with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/pgfeldman/Yelp_Chinese

SGLang

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

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

A GPT-2 model finetuned on Yelp reviews of Chinese cuisine restaraunts downloaded from the Yelp Open Dataset. The data from this and subsamples of cuisines are used in the paper Polling Latent Opinions: A Method for Computational Sociolinguistics Using Transformer Language Models

The model is trained to produce text in response to the following prompts:

"review:"
"stars:"

Downloads last month: 20

Paper for pgfeldman/Yelp_Chinese

Polling Latent Opinions: A Method for Computational Sociolinguistics Using Transformer Language Models

Paper • 2204.07483 • Published Apr 15, 2022