Instructions to use anas-awadalla/spanbert-large-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anas-awadalla/spanbert-large-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="anas-awadalla/spanbert-large-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("anas-awadalla/spanbert-large-squad") model = AutoModelForQuestionAnswering.from_pretrained("anas-awadalla/spanbert-large-squad") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64cca5d4a209ff13fd0abb9b6399b6f4087af3e80f1a2351a0effdf2d94a2e18
- Size of remote file:
- 1.33 GB
- SHA256:
- edbe961db66da5afe4bdf74b56b3cad7a671fc7277448063f652f55d014cb43f
路
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