Question Answering
Transformers
PyTorch
JAX
Safetensors
English
bert
bert-base
Eval Results (legacy)
Instructions to use csarron/bert-base-uncased-squad-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use csarron/bert-base-uncased-squad-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="csarron/bert-base-uncased-squad-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("csarron/bert-base-uncased-squad-v1") model = AutoModelForQuestionAnswering.from_pretrained("csarron/bert-base-uncased-squad-v1") - Inference
- Notebooks
- Google Colab
- Kaggle
Ctrl+K
autoevaluator HF Staff
Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator (#2)
c0773ca