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2KKLabs
/
Kaleidoscope_small_v1

Document Question Answering
Transformers
Safetensors
PyTorch
Russian
English
bert
question-answering
DocumentQA
QuestionAnswering
NLP
DeepLearning
Transformers
Multimodal
HuggingFace
ruBert
MachineLearning
DeepQA
AIForDocs
Docs
NeuralNetworks
torch
Model card Files Files and versions
xet
Community

Instructions to use 2KKLabs/Kaleidoscope_small_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use 2KKLabs/Kaleidoscope_small_v1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("document-question-answering", model="2KKLabs/Kaleidoscope_small_v1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("2KKLabs/Kaleidoscope_small_v1")
    model = AutoModelForQuestionAnswering.from_pretrained("2KKLabs/Kaleidoscope_small_v1")
  • Notebooks
  • Google Colab
  • Kaggle
Kaleidoscope_small_v1
716 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
Studio
Update README.md
2514eec verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • Kaleidoscope.png
    19.3 kB
    Upload Kaleidoscope.png over 1 year ago
  • README.md
    4.03 kB
    Update README.md over 1 year ago
  • config.json
    862 Bytes
    Upload 6 files over 1 year ago
  • model.safetensors
    711 MB
    xet
    Upload 6 files over 1 year ago
  • special_tokens_map.json
    732 Bytes
    Upload 6 files over 1 year ago
  • tokenizer.json
    3.71 MB
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  • tokenizer_config.json
    1.56 kB
    Upload 6 files over 1 year ago
  • vocab.txt
    1.78 MB
    Upload 6 files over 1 year ago