Instructions to use wvangils/GPT2-Beatles-Lyrics-finetuned-newlyrics with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use wvangils/GPT2-Beatles-Lyrics-finetuned-newlyrics with Transformers:

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

pipe = pipeline("text-generation", model="wvangils/GPT2-Beatles-Lyrics-finetuned-newlyrics")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("wvangils/GPT2-Beatles-Lyrics-finetuned-newlyrics")
model = AutoModelForCausalLM.from_pretrained("wvangils/GPT2-Beatles-Lyrics-finetuned-newlyrics", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use wvangils/GPT2-Beatles-Lyrics-finetuned-newlyrics with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "wvangils/GPT2-Beatles-Lyrics-finetuned-newlyrics"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "wvangils/GPT2-Beatles-Lyrics-finetuned-newlyrics",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/wvangils/GPT2-Beatles-Lyrics-finetuned-newlyrics

SGLang

How to use wvangils/GPT2-Beatles-Lyrics-finetuned-newlyrics 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 "wvangils/GPT2-Beatles-Lyrics-finetuned-newlyrics" \
    --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": "wvangils/GPT2-Beatles-Lyrics-finetuned-newlyrics",
		"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 "wvangils/GPT2-Beatles-Lyrics-finetuned-newlyrics" \
        --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": "wvangils/GPT2-Beatles-Lyrics-finetuned-newlyrics",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use wvangils/GPT2-Beatles-Lyrics-finetuned-newlyrics with Docker Model Runner:
```
docker model run hf.co/wvangils/GPT2-Beatles-Lyrics-finetuned-newlyrics
```

Librarian Bot: Update dataset YAML metadata for model

by librarian-bot - opened Feb 21, 2023

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

-0

librarian-bot

Feb 21, 2023

This is a pull request to add a dataset, cmotions/Beatles_lyrics, to the metadata for your model (defined in the YAML block of your model's README.md).
The pull request was made by librarian-bot and used a combination of rules and/or machine learning to suggest this additional metadata.
If this suggestion is incorrect, feel free to close this pull request.

Librarian Bot was made by @davanstrien; feel free to get in touch with feedback.

Librarian Bot: Update dataset YAML metadata for modelc07d2666

wvangils changed pull request status to merged Mar 8, 2023

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