Instructions to use VMware/electra-small-mrqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VMware/electra-small-mrqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="VMware/electra-small-mrqa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("VMware/electra-small-mrqa") model = AutoModelForQuestionAnswering.from_pretrained("VMware/electra-small-mrqa") - Notebooks
- Google Colab
- Kaggle
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name: MRQA
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metrics:
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name: Eval EM
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---
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name: MRQA
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metrics:
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value: 57.63
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name: Eval EM
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value: 69.38
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name: Test F1
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---
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