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LangTech-MT
/
salamandraTA-7b-instruct-WMT25

Translation
Transformers
Safetensors
llama
text-generation
text-generation-inference
Model card Files Files and versions
xet
Community
1

Instructions to use LangTech-MT/salamandraTA-7b-instruct-WMT25 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use LangTech-MT/salamandraTA-7b-instruct-WMT25 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="LangTech-MT/salamandraTA-7b-instruct-WMT25")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("LangTech-MT/salamandraTA-7b-instruct-WMT25")
    model = AutoModelForCausalLM.from_pretrained("LangTech-MT/salamandraTA-7b-instruct-WMT25", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
salamandraTA-7b-instruct-WMT25
15.6 GB
Ctrl+K
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  • 6 contributors
History: 53 commits
fdelucaf's picture
fdelucaf
Update license (#3)
af19a5a verified 11 months 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-00001-of-00004.safetensors
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  • model-00004-of-00004.safetensors
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  • model.safetensors.index.json
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer.model
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  • tokenizer_config.json
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