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DMTLabs-AI
/
DMTLLM-Translation-Research

Translation
Transformers
Safetensors
Korean
English
Vietnamese
llama
text-generation
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use DMTLabs-AI/DMTLLM-Translation-Research with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DMTLabs-AI/DMTLLM-Translation-Research with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "translation" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # 'pip install "transformers<5.0.0'
    from transformers import pipeline
    
    pipe = pipeline("translation", model="DMTLabs-AI/DMTLLM-Translation-Research")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("DMTLabs-AI/DMTLLM-Translation-Research")
    model = AutoModelForCausalLM.from_pretrained("DMTLabs-AI/DMTLLM-Translation-Research", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
DMTLLM-Translation-Research
577 MB
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  • 1 contributor
History: 4 commits
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  • .gitattributes
    1.52 kB
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  • README.md
    9.59 kB
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  • config.json
    719 Bytes
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  • generation_config.json
    217 Bytes
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  • model.safetensors
    191 MB
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  • sft_config.json
    780 Bytes
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  • tokenizer.json
    3.95 MB
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  • tokenizer_meta.json
    214 Bytes
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  • training_state.pt
    382 MB
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