Instructions to use salti/bert-base-multilingual-cased-finetuned-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use salti/bert-base-multilingual-cased-finetuned-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="salti/bert-base-multilingual-cased-finetuned-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("salti/bert-base-multilingual-cased-finetuned-squad") model = AutoModelForQuestionAnswering.from_pretrained("salti/bert-base-multilingual-cased-finetuned-squad") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6df34832c1fb5734698d7be6c29d14dc75719fd48d4952765827847f0c2e7c16
- Size of remote file:
- 709 MB
- SHA256:
- 67de22e07182063ee6bf508ad7e0e64600ecea8479c4a5a1ab9eab06558b16a4
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