Instructions to use ashaduzzaman/bert-finetuned-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ashaduzzaman/bert-finetuned-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ashaduzzaman/bert-finetuned-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ashaduzzaman/bert-finetuned-squad") model = AutoModelForQuestionAnswering.from_pretrained("ashaduzzaman/bert-finetuned-squad") - Notebooks
- Google Colab
- Kaggle
bert-finetuned-squad / runs /Aug24_00-32-37_c89396211193 /events.out.tfevents.1724459558.c89396211193.355.0
- Xet hash:
- 6b8f15adafc4d245c70f81c33ccf5aa473ba77388fb59f12084409472d13cd5f
- Size of remote file:
- 9.83 kB
- SHA256:
- 7f696ea104cf14b8270d54bc51614d37ed7b03662bb5f5d2b303321708f0e4c0
路
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