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