Instructions to use apohllo/plt5-base-poquad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use apohllo/plt5-base-poquad with Transformers:

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

pipe = pipeline("text-generation", model="apohllo/plt5-base-poquad")

# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("apohllo/plt5-base-poquad")
model = AutoModelForSeq2SeqLM.from_pretrained("apohllo/plt5-base-poquad", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use apohllo/plt5-base-poquad with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "apohllo/plt5-base-poquad"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "apohllo/plt5-base-poquad",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/apohllo/plt5-base-poquad

SGLang

How to use apohllo/plt5-base-poquad 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 "apohllo/plt5-base-poquad" \
    --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": "apohllo/plt5-base-poquad",
		"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 "apohllo/plt5-base-poquad" \
        --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": "apohllo/plt5-base-poquad",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use apohllo/plt5-base-poquad with Docker Model Runner:
```
docker model run hf.co/apohllo/plt5-base-poquad
```

apohllo commited on Nov 28, 2023

Commit

86f8fdd

1 Parent(s): c65459b

Update README.md

Browse files

Files changed (1) hide show

README.md +2 -0

README.md CHANGED Viewed

@@ -9,6 +9,8 @@ metrics:
 - bleu
 library_name: transformers
 pipeline_tag: text2text-generation
 ---
 This is a plT5-base model trained on the PoQuAD dataset. This model was trained as a result of single experiment run, so don't expect state-of-the-art results.

 - bleu
 library_name: transformers
 pipeline_tag: text2text-generation
+widget:
+- text: "Pytanie: Kiedy urodził się Schumacher. Kontekst: Michael Schumacher, wym. ˈmɪçaʔe:l ˈʃu:maxɐ ( odsłuchaj) (ur. 3 stycznia 1969 w Hürth) – niemiecki kierowca wyścigowy, w latach 1991–2006 i 2010–2012 startujący w mistrzostwach świata Formuły 1."
 ---
 This is a plT5-base model trained on the PoQuAD dataset. This model was trained as a result of single experiment run, so don't expect state-of-the-art results.