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DatarrX
/
myX-TransStyle-W2S

Text Generation
Transformers
Safetensors
PEFT
Burmese
m2m_100
text2text-generation
burmese
myanmar
myanmar-language
burmese-nlp
style-transfer
text-rewriting
formal-to-informal
written-to-spoken
seq2seq
nllb
lora
low-resource-language
Eval Results (legacy)
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    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")
  • PEFT

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

    Task type is invalid.
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • 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
myX-TransStyle-W2S
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  • 1 contributor
History: 5 commits
kalixlouiis's picture
kalixlouiis
Update README.md
c45299d verified 12 days ago
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  • README.md
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  • config.json
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  • generation_config.json
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  • model.safetensors
    2.8 GB
    xet
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  • tokenizer.json
    32.2 MB
    xet
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  • tokenizer_config.json
    380 Bytes
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