Instructions to use Palak/microsoft_deberta-base_squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Palak/microsoft_deberta-base_squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Palak/microsoft_deberta-base_squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Palak/microsoft_deberta-base_squad") model = AutoModelForQuestionAnswering.from_pretrained("Palak/microsoft_deberta-base_squad") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 69b98f5534642de2d3440055056184fecb49db62f4809471e6c0d4190c5fae07
- Size of remote file:
- 2.93 kB
- SHA256:
- 956f0e7ae4c82cca152ade53c0762d0e28099321cae6bd20bb0af0f6747442a4
路
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.