Instructions to use heack/HeackMT5-ZhCleanText1ML with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use heack/HeackMT5-ZhCleanText1ML with Transformers:

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

pipe = pipeline("text-generation", model="heack/HeackMT5-ZhCleanText1ML")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("heack/HeackMT5-ZhCleanText1ML")
model = AutoModelForSeq2SeqLM.from_pretrained("heack/HeackMT5-ZhCleanText1ML", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use heack/HeackMT5-ZhCleanText1ML with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "heack/HeackMT5-ZhCleanText1ML"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "heack/HeackMT5-ZhCleanText1ML",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/heack/HeackMT5-ZhCleanText1ML

SGLang

How to use heack/HeackMT5-ZhCleanText1ML 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 "heack/HeackMT5-ZhCleanText1ML" \
    --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": "heack/HeackMT5-ZhCleanText1ML",
		"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 "heack/HeackMT5-ZhCleanText1ML" \
        --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": "heack/HeackMT5-ZhCleanText1ML",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use heack/HeackMT5-ZhCleanText1ML with Docker Model Runner:
```
docker model run hf.co/heack/HeackMT5-ZhCleanText1ML
```

heack commited on 24 days ago

Commit

06e6262

verified ·

1 Parent(s): 51ff071

Style Coffee and commercial terms links as centered buttons

Browse files

Files changed (1) hide show

README.md +4 -1

README.md CHANGED Viewed

@@ -11,7 +11,10 @@ pipeline_tag: text2text-generation
 **Permanent commercial license: US$1,000 per model**, as a one-time payment for this model's released revision. Models are licensed separately; this payment does not cover other models on the account.
-[Get a commercial license via Buy Me a Coffee](https://buymeacoffee.com/penecho) · [Read commercial terms](COMMERCIAL-LICENSE.md)
 Select USD and include **`heack/HeackMT5-ZhCleanText1ML`**, your Hugging Face username, and the licensee's name in the payment message. This grants self-hosted commercial use, not a hosted API subscription. Prior valid licenses and upstream third-party rights remain unaffected.

 **Permanent commercial license: US$1,000 per model**, as a one-time payment for this model's released revision. Models are licensed separately; this payment does not cover other models on the account.
+<p align="center">
+  <a href="https://buymeacoffee.com/penecho"><img src="https://img.shields.io/badge/BUY_US_A_COFFEE-FFDD00?style=for-the-badge&amp;logo=buymeacoffee&amp;logoColor=000000" alt="Buy us a coffee"></a>
+  <a href="COMMERCIAL-LICENSE.md"><img src="https://img.shields.io/badge/COMMERCIAL_LICENSE_TERMS-087f83?style=for-the-badge" alt="Read commercial license terms"></a>
+</p>
 Select USD and include **`heack/HeackMT5-ZhCleanText1ML`**, your Hugging Face username, and the licensee's name in the payment message. This grants self-hosted commercial use, not a hosted API subscription. Prior valid licenses and upstream third-party rights remain unaffected.