Question Answering
Transformers
PyTorch
TensorFlow
Rust
Safetensors
OpenVINO
English
distilbert
Eval Results (legacy)
Instructions to use distilbert/distilbert-base-cased-distilled-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use distilbert/distilbert-base-cased-distilled-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="distilbert/distilbert-base-cased-distilled-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("distilbert/distilbert-base-cased-distilled-squad") model = AutoModelForQuestionAnswering.from_pretrained("distilbert/distilbert-base-cased-distilled-squad", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Add Core ML conversion
#9
by Omkar008 - opened
Core ML conversion, task=question-answering, precision=float32
HI I have converted this bert base uncase to coreML for using this on device on an IOS application . I wanted to submit this PR and wanted to approve this PR .