Instructions to use unicamp-dl/ptt5-v2-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use unicamp-dl/ptt5-v2-large with Transformers:

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

pipe = pipeline("text-generation", model="unicamp-dl/ptt5-v2-large")

# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("unicamp-dl/ptt5-v2-large")
model = AutoModelForSeq2SeqLM.from_pretrained("unicamp-dl/ptt5-v2-large", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use unicamp-dl/ptt5-v2-large with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "unicamp-dl/ptt5-v2-large"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "unicamp-dl/ptt5-v2-large",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/unicamp-dl/ptt5-v2-large

SGLang

How to use unicamp-dl/ptt5-v2-large 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 "unicamp-dl/ptt5-v2-large" \
    --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": "unicamp-dl/ptt5-v2-large",
		"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 "unicamp-dl/ptt5-v2-large" \
        --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": "unicamp-dl/ptt5-v2-large",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use unicamp-dl/ptt5-v2-large with Docker Model Runner:
```
docker model run hf.co/unicamp-dl/ptt5-v2-large
```

ptt5-v2-large

Commit History

Fix arXiv link for ptt5-v2 paper reference (2008.09144 -> 2406.10806) (#3)

0ab44d4

marcospiau commited on 27 days ago

Update README.md

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Upload folder using huggingface_hub

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initial commit

27478da
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marcospiau commited on Jun 9, 2024

Commit History

Fix arXiv link for ptt5-v2 paper reference (2008.09144 -> 2406.10806) (#3) 0ab44d4

Update README.md e25acc7 verified

Update README.md 9251633 verified

Update README.md 11eac3d verified

Create README.md 68387dd verified

Upload folder using huggingface_hub fccd881 verified

initial commit 27478da verified