Instructions to use EricPeter/distilbert-base-uncased-finetuned-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EricPeter/distilbert-base-uncased-finetuned-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="EricPeter/distilbert-base-uncased-finetuned-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("EricPeter/distilbert-base-uncased-finetuned-squad") model = AutoModelForQuestionAnswering.from_pretrained("EricPeter/distilbert-base-uncased-finetuned-squad") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 66a13b7b482dc997770d186338919d77e043bf682eb78182faab4e7fa8266660
- Size of remote file:
- 4.09 kB
- SHA256:
- 0af2ea00c4d0e8df8ddf6b0a01f175b57f8c07a4dc89ad155bce3b6631581586
路
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.