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
Add evaluation results on the grocery config and train split of subjqa
#2
by autoevaluator HF Staff - opened
Beep boop, I am a bot from Hugging Face's automatic model evaluator 👋!
Your model has been evaluated on the grocery config and train split of the subjqa dataset by @sushant-joshi , using the predictions stored here.
Accept this pull request to see the results displayed on the Hub leaderboard.
Evaluate your model on more datasets here.
test the hugging face model evaluator
accept the pull request
SiraH changed pull request status to merged