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AIAT
/
The_Scamper-opt70bqt

Table Question Answering
Transformers
Safetensors
Thai
English
llama
text-generation
text-generation-inference
4-bit precision
bitsandbytes
Model card Files Files and versions
xet
Community
5

Instructions to use AIAT/The_Scamper-opt70bqt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AIAT/The_Scamper-opt70bqt with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("table-question-answering", model="AIAT/The_Scamper-opt70bqt")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("AIAT/The_Scamper-opt70bqt")
    model = AutoModelForCausalLM.from_pretrained("AIAT/The_Scamper-opt70bqt")
  • Notebooks
  • Google Colab
  • Kaggle
The_Scamper-opt70bqt
36.7 GB
Ctrl+K
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  • 2 contributors
History: 9 commits
suphanatwong's picture
suphanatwong
Update README.md
1a3a076 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    3.84 kB
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  • added_tokens.json
    94 Bytes
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  • config.json
    1.21 kB
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  • generation_config.json
    111 Bytes
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  • model-00001-of-00008.safetensors
    4.97 GB
    xet
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  • model-00002-of-00008.safetensors
    4.98 GB
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  • model-00003-of-00008.safetensors
    4.93 GB
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  • model-00004-of-00008.safetensors
    4.98 GB
    xet
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  • model-00005-of-00008.safetensors
    4.98 GB
    xet
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  • model-00006-of-00008.safetensors
    4.98 GB
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  • model-00007-of-00008.safetensors
    4.93 GB
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  • model-00008-of-00008.safetensors
    1.92 GB
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  • model.safetensors.index.json
    331 kB
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  • special_tokens_map.json
    547 Bytes
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  • tokenizer.model
    718 kB
    xet
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  • tokenizer_config.json
    1.85 kB
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