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vahrush
/
NTB_probe_sec

Table Question Answering
Transformers
PyTorch
Safetensors
Russian
English
t5
text2text-generation
agent
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use vahrush/NTB_probe_sec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use vahrush/NTB_probe_sec with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("table-question-answering", model="vahrush/NTB_probe_sec")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("vahrush/NTB_probe_sec")
    model = AutoModelForSeq2SeqLM.from_pretrained("vahrush/NTB_probe_sec")
  • Notebooks
  • Google Colab
  • Kaggle
NTB_probe_sec
1.78 GB
Ctrl+K
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  • 1 contributor
History: 3 commits
vahrush's picture
vahrush
Update README.md
b80b46f verified 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
    176 Bytes
    Update README.md 2 months ago
  • added_tokens.json
    2.59 kB
    Upload 8 files 2 months ago
  • config.json
    1.49 kB
    Upload 8 files 2 months ago
  • generation_config.json
    142 Bytes
    Upload 8 files 2 months ago
  • model.safetensors
    892 MB
    xet
    Upload 8 files 2 months ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    892 MB
    xet
    Upload 8 files 2 months ago
  • special_tokens_map.json
    2.54 kB
    Upload 8 files 2 months ago
  • spiece.model
    1 MB
    xet
    Upload 8 files 2 months ago
  • tokenizer_config.json
    20.6 kB
    Upload 8 files 2 months ago