Instructions to use deva-penumaka/distilgpt2-email-continuation-body-only with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use deva-penumaka/distilgpt2-email-continuation-body-only with Transformers:

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

pipe = pipeline("text-generation", model="deva-penumaka/distilgpt2-email-continuation-body-only")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("deva-penumaka/distilgpt2-email-continuation-body-only")
model = AutoModelForCausalLM.from_pretrained("deva-penumaka/distilgpt2-email-continuation-body-only", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use deva-penumaka/distilgpt2-email-continuation-body-only with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "deva-penumaka/distilgpt2-email-continuation-body-only"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "deva-penumaka/distilgpt2-email-continuation-body-only",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/deva-penumaka/distilgpt2-email-continuation-body-only

SGLang

How to use deva-penumaka/distilgpt2-email-continuation-body-only 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 "deva-penumaka/distilgpt2-email-continuation-body-only" \
    --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": "deva-penumaka/distilgpt2-email-continuation-body-only",
		"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 "deva-penumaka/distilgpt2-email-continuation-body-only" \
        --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": "deva-penumaka/distilgpt2-email-continuation-body-only",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use deva-penumaka/distilgpt2-email-continuation-body-only with Docker Model Runner:
```
docker model run hf.co/deva-penumaka/distilgpt2-email-continuation-body-only
```

This model is a fine-tuned version of distilbert/distilgpt2 for generating the continuation of an incomplete email body. The model was fine-tuned on the postbot/aeslc_kw dataset. The input should contain an incomplete email body, without requiring a subject line.

Limitations

The model may:

Generate inaccurate or fabricated information Produce repetitive text Produce inappropriate or biased content Continue an email in a way that does not match the writer's intention Include names, facts, or commitments that were not present in the input

This model should not automatically send email or make decisions without human review.

Training data considerations

The model inherits limitations and biases from its base model and training dataset. Users should review the dataset and evaluate the model for their specific use case.

Downloads last month: 40

Safetensors

Model size

81.9M params

Tensor type

F32

Model tree for deva-penumaka/distilgpt2-email-continuation-body-only

Base model

distilbert/distilgpt2

Finetuned

(1534)

this model

deva-penumaka
/

distilgpt2-email-continuation-body-only

Model tree for deva-penumaka/distilgpt2-email-continuation-body-only

Dataset used to train deva-penumaka/distilgpt2-email-continuation-body-only