Instructions to use mohammadhabp/dialogsum_gpt2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mohammadhabp/dialogsum_gpt2 with Transformers:

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

pipe = pipeline("text-generation", model="mohammadhabp/dialogsum_gpt2")

# Load model directly
from transformers import AutoTokenizer, AutoModelForMultimodalLM

tokenizer = AutoTokenizer.from_pretrained("mohammadhabp/dialogsum_gpt2")
model = AutoModelForMultimodalLM.from_pretrained("mohammadhabp/dialogsum_gpt2")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use mohammadhabp/dialogsum_gpt2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "mohammadhabp/dialogsum_gpt2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "mohammadhabp/dialogsum_gpt2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/mohammadhabp/dialogsum_gpt2

SGLang

How to use mohammadhabp/dialogsum_gpt2 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 "mohammadhabp/dialogsum_gpt2" \
    --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": "mohammadhabp/dialogsum_gpt2",
		"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 "mohammadhabp/dialogsum_gpt2" \
        --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": "mohammadhabp/dialogsum_gpt2",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use mohammadhabp/dialogsum_gpt2 with Docker Model Runner:
```
docker model run hf.co/mohammadhabp/dialogsum_gpt2
```

mohammadhabp commited on Jul 29, 2024

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@@ -15,25 +15,13 @@ should probably proofread and complete it, then remove this comment. -->
 # dialogsum_gpt2
-This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an unknown dataset.
 It achieves the following results on the evaluation set:
 - Loss: 2.3211
 - Rouge1: 0.4866
 - Rouge2: 0.1609
 - Rougel: 0.3868
-## Model description
-More information needed
-## Intended uses & limitations
-More information needed
-## Training and evaluation data
-More information needed
 ## Training procedure
 ### Training hyperparameters

 # dialogsum_gpt2
+This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an [Dialogue_Bot](https://huggingface.co/datasets/mohammadhabp/Dialogue_Bot) dataset.
 It achieves the following results on the evaluation set:
 - Loss: 2.3211
 - Rouge1: 0.4866
 - Rouge2: 0.1609
 - Rougel: 0.3868
 ## Training procedure
 ### Training hyperparameters