Instructions to use Palak/distilroberta-base_squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Palak/distilroberta-base_squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Palak/distilroberta-base_squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Palak/distilroberta-base_squad") model = AutoModelForQuestionAnswering.from_pretrained("Palak/distilroberta-base_squad") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f1b1ddef5ec2986594681ba9efcdc662bacd2f9b15e2279f416863b86d628d9
- Size of remote file:
- 2.93 kB
- SHA256:
- 515fdb101497837a86bf2972ceba99d8e3b8aad2966a3e34fc2c3e2066014898
路
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.