Instructions to use ToluClassics/extractive_reader_afroxlmr_fquad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ToluClassics/extractive_reader_afroxlmr_fquad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ToluClassics/extractive_reader_afroxlmr_fquad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ToluClassics/extractive_reader_afroxlmr_fquad") model = AutoModelForQuestionAnswering.from_pretrained("ToluClassics/extractive_reader_afroxlmr_fquad") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 29dd4ac81ae95638f843286db0e7c9be5527299ba431407b5284141de334ada4
- Size of remote file:
- 1.11 GB
- SHA256:
- deb75f74692152e10f894b23cce98de676e3d101b0046c263eb0049913e964eb
路
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