Question Answering
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use mrp/bert-finetuned-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrp/bert-finetuned-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="mrp/bert-finetuned-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("mrp/bert-finetuned-squad") model = AutoModelForQuestionAnswering.from_pretrained("mrp/bert-finetuned-squad") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- afb2ee620787c92372237be49308cb1e25cdef41f6e934bb74926e3c16b77013
- Size of remote file:
- 2.99 kB
- SHA256:
- 27bfc08380dd7452794b89dc19057fc25257fa013bb3a1bb1036b322eb839b37
路
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