Instructions to use darshana1406/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 darshana1406/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="darshana1406/bert-base-multilingual-cased-finetuned-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("darshana1406/bert-base-multilingual-cased-finetuned-squad") model = AutoModelForQuestionAnswering.from_pretrained("darshana1406/bert-base-multilingual-cased-finetuned-squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bda7721033f4a8f8ec874a4df9295bdbe580748222516e8c615a3a2dfb6d10f6
- Size of remote file:
- 709 MB
- SHA256:
- 036c39eafb48a5190d8068388b1772320194ee1a4754a8b554163471d19a5b8c
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