Instructions to use distilbert/distilbert-base-uncased-distilled-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use distilbert/distilbert-base-uncased-distilled-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="distilbert/distilbert-base-uncased-distilled-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("distilbert/distilbert-base-uncased-distilled-squad") model = AutoModelForQuestionAnswering.from_pretrained("distilbert/distilbert-base-uncased-distilled-squad", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a3c3c29391cc53f646e30035c6123866fb7a5844094bea131b598b409e3db6a9
- Size of remote file:
- 265 MB
- SHA256:
- b4cb8385132328f31bc7a63ef38eb3d8ee6b630d3c4fd72d62e8cec9dfa16245
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.