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charlottepuopolo
/
sealion-3v-9b-it-taglish

Translation
Transformers
Safetensors
English
Tagalog
gemma2
text-generation
trl
sft
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use charlottepuopolo/sealion-3v-9b-it-taglish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use charlottepuopolo/sealion-3v-9b-it-taglish 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="charlottepuopolo/sealion-3v-9b-it-taglish")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMultimodalLM
    
    tokenizer = AutoTokenizer.from_pretrained("charlottepuopolo/sealion-3v-9b-it-taglish")
    model = AutoModelForMultimodalLM.from_pretrained("charlottepuopolo/sealion-3v-9b-it-taglish")
  • Notebooks
  • Google Colab
  • Kaggle
sealion-3v-9b-it-taglish
25.3 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 10 commits
charlottepuopolo's picture
charlottepuopolo
Update README.md
aecca2d verified 12 months ago
  • .gitattributes
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  • README.md
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  • config.json
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  • generation_config.json
    187 Bytes
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  • model-00001-of-00002.safetensors
    5 GB
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  • model-00001-of-00004.safetensors
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  • model-00002-of-00002.safetensors
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  • model-00002-of-00004.safetensors
    4.95 GB
    xet
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  • model-00003-of-00004.safetensors
    4.96 GB
    xet
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  • model-00004-of-00004.safetensors
    3.67 GB
    xet
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  • model.safetensors.index.json
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  • special_tokens_map.json
    636 Bytes
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  • tokenizer.json
    34.4 MB
    xet
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  • tokenizer.model
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    xet
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  • tokenizer_config.json
    46.8 kB
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