Instructions to use Inkdrop/gpt2-property-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Inkdrop/gpt2-property-classifier with Transformers:

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

pipe = pipeline("text-generation", model="Inkdrop/gpt2-property-classifier")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Inkdrop/gpt2-property-classifier")
model = AutoModelForCausalLM.from_pretrained("Inkdrop/gpt2-property-classifier")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use Inkdrop/gpt2-property-classifier with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Inkdrop/gpt2-property-classifier"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Inkdrop/gpt2-property-classifier",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Inkdrop/gpt2-property-classifier

SGLang

How to use Inkdrop/gpt2-property-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 "Inkdrop/gpt2-property-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": "Inkdrop/gpt2-property-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 "Inkdrop/gpt2-property-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": "Inkdrop/gpt2-property-classifier",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Inkdrop/gpt2-property-classifier with Docker Model Runner:
```
docker model run hf.co/Inkdrop/gpt2-property-classifier
```

louis030195 commited on Dec 19, 2021

Commit

e853c2d

1 Parent(s): 51fe924

first commit

Browse files

Files changed (1) hide show

config.json +3 -1

config.json CHANGED Viewed

@@ -29,7 +29,9 @@
   "task_specific_params": {
     "text-generation": {
       "do_sample": true,
-      "max_length": 50
     }
   },
   "torch_dtype": "float16",

   "task_specific_params": {
     "text-generation": {
       "do_sample": true,
+      "max_length": 100,
+      "return_text": false,
+      "return_full_text": false
     }
   },
   "torch_dtype": "float16",