Question Answering
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use SiraH/bert-finetuned-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SiraH/bert-finetuned-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="SiraH/bert-finetuned-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("SiraH/bert-finetuned-squad") model = AutoModelForQuestionAnswering.from_pretrained("SiraH/bert-finetuned-squad") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#5 opened over 2 years ago
by
librarian-bot
Adding `safetensors` variant of this model
#4 opened almost 3 years ago
by
SFconvertbot
Add evaluation results on the squad_v2 config and validation split of squad_v2
#1 opened over 3 years ago
by
autoevaluator