Instructions to use google/bigbird-base-trivia-itc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/bigbird-base-trivia-itc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="google/bigbird-base-trivia-itc")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("google/bigbird-base-trivia-itc") model = AutoModelForQuestionAnswering.from_pretrained("google/bigbird-base-trivia-itc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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This model is a fine-tune checkpoint of `bigbird-roberta-base`, fine-tuned on `trivia_qa` with `BigBirdForQuestionAnsweringHead` on its top.
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## How to use
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Here is how to use this model to get the features of a given text in PyTorch:
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This model is a fine-tune checkpoint of `bigbird-roberta-base`, fine-tuned on `trivia_qa` with `BigBirdForQuestionAnsweringHead` on its top.
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Check out [this](https://colab.research.google.com/drive/1DVOm1VHjW0eKCayFq1N2GpY6GR9M4tJP?usp=sharing) to see how well `google/bigbird-base-trivia-itc` performs on question answering.
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## How to use
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Here is how to use this model to get the features of a given text in PyTorch:
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