Instructions to use thangvip/bert-finetuned-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thangvip/bert-finetuned-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="thangvip/bert-finetuned-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("thangvip/bert-finetuned-squad") model = AutoModelForQuestionAnswering.from_pretrained("thangvip/bert-finetuned-squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 88423d6637dbc040f11ba36814455b9b3e9fcaff7de3ea34d49063bdf6e7e8d5
- Size of remote file:
- 431 MB
- SHA256:
- c769437626af9c96ede7d4284636a3ff8a42884ec764f863f543dadfe7923440
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