Instructions to use surajkarki/ft-GPT2-with-lyrics with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use surajkarki/ft-GPT2-with-lyrics with Transformers:

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

pipe = pipeline("text-generation", model="surajkarki/ft-GPT2-with-lyrics")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("surajkarki/ft-GPT2-with-lyrics")
model = AutoModelForCausalLM.from_pretrained("surajkarki/ft-GPT2-with-lyrics", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use surajkarki/ft-GPT2-with-lyrics with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/surajkarki/ft-GPT2-with-lyrics

SGLang

How to use surajkarki/ft-GPT2-with-lyrics 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 "surajkarki/ft-GPT2-with-lyrics" \
    --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": "surajkarki/ft-GPT2-with-lyrics",
		"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 "surajkarki/ft-GPT2-with-lyrics" \
        --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": "surajkarki/ft-GPT2-with-lyrics",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use surajkarki/ft-GPT2-with-lyrics with Docker Model Runner:
```
docker model run hf.co/surajkarki/ft-GPT2-with-lyrics
```

ft-GPT2-with-lyrics

This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.1112

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: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss
2.0058	1.0	71	1.5293
1.5797	2.0	142	1.3814
1.4549	3.0	213	1.3093
1.3837	4.0	284	1.2661
1.3354	5.0	355	1.2328
1.2976	6.0	426	1.2142
1.2678	7.0	497	1.1973
1.2401	8.0	568	1.1825
1.2168	9.0	639	1.1737
1.1971	10.0	710	1.1604
1.1797	11.0	781	1.1529
1.1671	12.0	852	1.1451
1.1517	13.0	923	1.1395
1.1389	14.0	994	1.1357
1.1267	15.0	1065	1.1325
1.1189	16.0	1136	1.1278
1.1076	17.0	1207	1.1246
1.1019	18.0	1278	1.1201
1.0925	19.0	1349	1.1201
1.0885	20.0	1420	1.1159
1.0806	21.0	1491	1.1165
1.0785	22.0	1562	1.1178
1.0703	23.0	1633	1.1171
1.0674	24.0	1704	1.1130
1.0604	25.0	1775	1.1132
1.062	26.0	1846	1.1120
1.0545	27.0	1917	1.1123
1.0534	28.0	1988	1.1106
1.0528	29.0	2059	1.1115
1.0516	30.0	2130	1.1112

Framework versions

Transformers 4.35.2
Pytorch 2.1.2
Datasets 2.15.0
Tokenizers 0.15.1

Downloads last month: 8

Safetensors

Model size

0.1B params

Tensor type

F32

Model tree for surajkarki/ft-GPT2-with-lyrics

Base model

openai-community/gpt2

Finetuned

(2262)

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