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
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
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