Instructions to use iliazlobin/gpt2-large-coedit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use iliazlobin/gpt2-large-coedit with Transformers:

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

pipe = pipeline("text-generation", model="iliazlobin/gpt2-large-coedit")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("iliazlobin/gpt2-large-coedit")
model = AutoModelForCausalLM.from_pretrained("iliazlobin/gpt2-large-coedit")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use iliazlobin/gpt2-large-coedit with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/iliazlobin/gpt2-large-coedit

SGLang

How to use iliazlobin/gpt2-large-coedit 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 "iliazlobin/gpt2-large-coedit" \
    --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": "iliazlobin/gpt2-large-coedit",
		"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 "iliazlobin/gpt2-large-coedit" \
        --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": "iliazlobin/gpt2-large-coedit",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use iliazlobin/gpt2-large-coedit with Docker Model Runner:
```
docker model run hf.co/iliazlobin/gpt2-large-coedit
```

gpt2-large-coedit

This model is a fine-tuned version of openai-community/gpt2-large on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.9215
Rouge1: 0.4818
Rouge2: 0.3649
Rougel: 0.4555
Rougelsum: 0.4643
Sacreblue: 19.1714
Memory Used: 68475.5
Cuda Allocated: 3082.6328
Cuda Reserved: 61060.0
Ram Usage: 13976.5117
Em: 0.0
Gen Len: 82.1798

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: 150
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 600
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Sacreblue	Memory Used	Cuda Allocated	Cuda Reserved	Ram Usage	Gen Len
0.8724	0.47	50	1.0274	0.4653	0.3509	0.4382	0.4459	19.0412	68475.5	3082.605	61060.0	5708.957	82.0895
0.7407	0.94	100	0.9499	0.4825	0.3651	0.4557	0.4656	19.2975	68475.5	3082.6152	61060.0	13842.9336	81.3952
0.6964	1.41	150	0.9318	0.4783	0.3627	0.452	0.4605	19.418	68475.5	3082.6182	61060.0	13958.2773	81.0295
0.6846	1.88	200	0.9215	0.4818	0.3649	0.4555	0.4643	19.1714	68475.5	3082.6328	61060.0	13976.5117	82.1798

Framework versions

Transformers 4.39.3
Pytorch 2.2.2
Datasets 2.18.0
Tokenizers 0.15.2

Downloads last month: 2

Safetensors

Model size

0.8B params

Tensor type

F32

Model tree for iliazlobin/gpt2-large-coedit

Base model

openai-community/gpt2-large

Finetuned

(129)

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