Question Answering
Transformers
PyTorch
English
roberta
QA
Question Answering
SQuAD
Eval Results (legacy)
Instructions to use UKP-SQuARE/distilroberta-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UKP-SQuARE/distilroberta-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="UKP-SQuARE/distilroberta-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("UKP-SQuARE/distilroberta-squad") model = AutoModelForQuestionAnswering.from_pretrained("UKP-SQuARE/distilroberta-squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from UKP-SQuARE/distilroberta-squad: direct link, hf CLI and curl.
- Browser
- Download file 326 MB
-
https://huggingface.co/UKP-SQuARE/distilroberta-squad/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://UKP-SQuARE/distilroberta-squad/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/UKP-SQuARE/distilroberta-squad/resolve/main/pytorch_model.bin
326 MB
- Xet hash:
- efdd165734652887bdfdc65dd46f9abe1f2c632a4884ef0466941f03943202d2
- Size of remote file:
- 326 MB
- SHA256:
- d621a56b182ace33f40bb61b7c43b06a10d8899dcad3c6d1242396dcb8f6935a
路
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