Question Answering
Transformers
PyTorch
Safetensors
Portuguese
bert
extractive-qa
Eval Results (legacy)
Instructions to use eraldoluis/faquad-bert-base-portuguese-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eraldoluis/faquad-bert-base-portuguese-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="eraldoluis/faquad-bert-base-portuguese-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("eraldoluis/faquad-bert-base-portuguese-cased") model = AutoModelForQuestionAnswering.from_pretrained("eraldoluis/faquad-bert-base-portuguese-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
8a160f3
1
Parent(s): 170cf21
Librarian Bot: Add base_model information to model (#2)
Browse files- Librarian Bot: Add base_model information to model (bde7e5928ebd92f12b04f0acfdbf74707fcaa171)
Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>
README.md
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license: apache-2.0
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language: pt
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library_name: transformers
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tags:
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- extractive-qa
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- eraldoluis/faquad
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metrics:
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- squad
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model-index:
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- name: faquad-bert-base-portuguese-cased
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results:
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type: extractive-qa
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name: Extractive Question-Answering
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dataset:
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type: eraldoluis/faquad
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name: FaQuAD
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split: eval
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metrics:
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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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language: pt
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license: apache-2.0
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library_name: transformers
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tags:
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- extractive-qa
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- eraldoluis/faquad
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metrics:
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- squad
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base_model: neuralmind/bert-base-portuguese-cased
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model-index:
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- name: faquad-bert-base-portuguese-cased
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results:
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type: extractive-qa
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name: Extractive Question-Answering
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dataset:
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name: FaQuAD
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type: eraldoluis/faquad
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split: eval
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metrics:
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- type: f1
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value: 83.0912959832023
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name: Eval F1 score (squad metric)
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verified: false
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- type: exact_match
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value: 74.53169347209082
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name: Eval ExactMatch score (squad metric)
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verified: false
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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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