Instructions to use DatarrX/myX-TransStyle-W2S with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use DatarrX/myX-TransStyle-W2S with Transformers:

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

pipe = pipeline("text-generation", model="DatarrX/myX-TransStyle-W2S")

# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("DatarrX/myX-TransStyle-W2S")
model = AutoModelForSeq2SeqLM.from_pretrained("DatarrX/myX-TransStyle-W2S", device_map="auto")

PEFT
How to use DatarrX/myX-TransStyle-W2S with PEFT:
```
Task type is invalid.
```
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use DatarrX/myX-TransStyle-W2S with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "DatarrX/myX-TransStyle-W2S"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "DatarrX/myX-TransStyle-W2S",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/DatarrX/myX-TransStyle-W2S

SGLang

How to use DatarrX/myX-TransStyle-W2S 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 "DatarrX/myX-TransStyle-W2S" \
    --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": "DatarrX/myX-TransStyle-W2S",
		"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 "DatarrX/myX-TransStyle-W2S" \
        --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": "DatarrX/myX-TransStyle-W2S",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use DatarrX/myX-TransStyle-W2S with Docker Model Runner:
```
docker model run hf.co/DatarrX/myX-TransStyle-W2S
```

kalixlouiis commited on Apr 26

Commit

c45299d

verified ·

1 Parent(s): 4d0c805

Update README.md

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@@ -124,6 +124,14 @@ Manual review by native speakers confirms the model's ability to not only swap p
 ---
 ## How to Use
 ```python

 ---
+## 🔗 Related Models in the DatarrX Ecosystem
+Explore other specialized models for Myanmar linguistic styles:
+* **[myX-TransStyle-S2W](https://huggingface.co/DatarrX/myX-TransStyle-S2W):** The sibling model for converting Spoken Style to formal Written Style.
+* **[myX-StyleClassifier](https://huggingface.co/DatarrX/myX-StyleClassifier):** Use this to automatically detect the style of your input text before processing.
+---
 ## How to Use
 ```python