Instructions to use nandinib1999/quote-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use nandinib1999/quote-generator with Transformers:

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

pipe = pipeline("text-generation", model="nandinib1999/quote-generator")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nandinib1999/quote-generator")
model = AutoModelForCausalLM.from_pretrained("nandinib1999/quote-generator")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use nandinib1999/quote-generator with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "nandinib1999/quote-generator"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "nandinib1999/quote-generator",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/nandinib1999/quote-generator

SGLang

How to use nandinib1999/quote-generator 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 "nandinib1999/quote-generator" \
    --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": "nandinib1999/quote-generator",
		"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 "nandinib1999/quote-generator" \
        --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": "nandinib1999/quote-generator",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use nandinib1999/quote-generator with Docker Model Runner:
```
docker model run hf.co/nandinib1999/quote-generator
```

quote-generator

Commit History

Update README.md

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nandinib1999 commited on Mar 6, 2022

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Update README.md

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nandinib1999 commited on Feb 28, 2021

Create README.md

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nandinib1999 commited on Feb 28, 2021

first model commit

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nandinib1811 commited on Feb 28, 2021

initial commit

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system HF Staff commited on Feb 28, 2021

Commit History

Update README.md 43fed60

upload flax model 21d9e75

allow flax 0c5e2ae

Update README.md 9272220

Create README.md c003419

first model commit 645322b

initial commit 3f0f372