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
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README.md
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base_model: mrm8488/longformer-base-4096-finetuned-squadv2
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tags:
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- generated_from_trainer
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license: apache-2.0
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datasets:
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- Kkordik/NovelQSI
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base_model: mrm8488/longformer-base-4096-finetuned-squadv2
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tags:
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- generated_from_trainer
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- qsi
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- quote_speaker_identification
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license: apache-2.0
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datasets:
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- Kkordik/NovelQSI
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