Question Answering
Transformers
TensorBoard
Safetensors
English
longformer
Generated from Trainer
qsi
quote_speaker_identification
Eval Results (legacy)
Instructions to use Kkordik/test_longformer_4096_qsi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kkordik/test_longformer_4096_qsi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Kkordik/test_longformer_4096_qsi")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Kkordik/test_longformer_4096_qsi") model = AutoModelForQuestionAnswering.from_pretrained("Kkordik/test_longformer_4096_qsi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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Which character said 'You know, I read somewhere that the brightest stars are those that have undergone the most turmoil. Maybe it's the same with us – our struggles make us shine brighter'?
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Characters:
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Alex: Aliases: {'Alex'}. Gender: Male, The character is: major
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Bella: Aliases: {'Bella'}. Gender: Female, The character is: major
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widget:
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- text: >-
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Which character said 'You know, I read somewhere that the brightest stars are those that have undergone the most turmoil. Maybe it's the same with us – our struggles make us shine brighter'?
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context: >-
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Characters:
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Alex: Aliases: {'Alex'}. Gender: Male, The character is: major
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Bella: Aliases: {'Bella'}. Gender: Female, The character is: major
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