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 # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="Kkordik/test_longformer_4096_qsi")# pip install -U transformers accelerate # 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
Browse files
README.md
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---
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base_model: mrm8488/longformer-base-4096-finetuned-squadv2
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tags:
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model-index:
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- name: longformer_4096_qsi
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results: []
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license: apache-2.0
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datasets:
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- Kkordik/NovelQSI
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language:
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- en
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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---
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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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language:
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- en
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model-index:
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- name: Kkordik/test_longformer_4096_qsi
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results:
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- task:
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type: question-answering
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dataset:
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type: Kkordik/NovelQSI
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name: NovelQSI
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split: test
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metrics:
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- type: exact_match
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value: 20.346
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verified: false
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- type: f1
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value: 26.58
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verified: false
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---
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This markdown file contains the spec for the modelcard metadata regarding evaluation parameters. When present, and only then, 'model-index', 'datasets' and 'license' contents will be verified when git pushing changes to your README.md file.
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Valid license identifiers can be found in [our docs](https://huggingface.co/docs/hub/repositories-licenses).
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For the full model card template, see: [modelcard_template.md file](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md).
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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