Instructions to use wvangils/GPT-Neo-125m-Beatles-Lyrics-finetuned-newlyrics with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use wvangils/GPT-Neo-125m-Beatles-Lyrics-finetuned-newlyrics with Transformers:

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

pipe = pipeline("text-generation", model="wvangils/GPT-Neo-125m-Beatles-Lyrics-finetuned-newlyrics")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("wvangils/GPT-Neo-125m-Beatles-Lyrics-finetuned-newlyrics")
model = AutoModelForCausalLM.from_pretrained("wvangils/GPT-Neo-125m-Beatles-Lyrics-finetuned-newlyrics", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use wvangils/GPT-Neo-125m-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/GPT-Neo-125m-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/GPT-Neo-125m-Beatles-Lyrics-finetuned-newlyrics",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/wvangils/GPT-Neo-125m-Beatles-Lyrics-finetuned-newlyrics

SGLang

How to use wvangils/GPT-Neo-125m-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/GPT-Neo-125m-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/GPT-Neo-125m-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/GPT-Neo-125m-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/GPT-Neo-125m-Beatles-Lyrics-finetuned-newlyrics",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use wvangils/GPT-Neo-125m-Beatles-Lyrics-finetuned-newlyrics with Docker Model Runner:
```
docker model run hf.co/wvangils/GPT-Neo-125m-Beatles-Lyrics-finetuned-newlyrics
```

GPT-Neo-125m-Beatles-Lyrics-finetuned-newlyrics

This model is a fine-tuned version of EleutherAI/gpt-neo-125M on the Cmotions - Beatles lyrics dataset. It will complete an input prompt with Beatles-like text.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
2.4438	1.0	18	1.8004
2.1981	2.0	36	1.6985
1.9766	3.0	54	1.6487
1.8233	4.0	72	1.6384
1.6137	5.0	90	1.6574

wvangils
/

GPT-Neo-125m-Beatles-Lyrics-finetuned-newlyrics

GPT-Neo-125m-Beatles-Lyrics-finetuned-newlyrics

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Dataset used to train wvangils/GPT-Neo-125m-Beatles-Lyrics-finetuned-newlyrics

Spaces using wvangils/GPT-Neo-125m-Beatles-Lyrics-finetuned-newlyrics 3