Instructions to use datarpit/toy-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use datarpit/toy-qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="datarpit/toy-qa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("datarpit/toy-qa") model = AutoModelForQuestionAnswering.from_pretrained("datarpit/toy-qa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c5953f5a28bc1e0f62218862100c061d433235089ec20d5e561928c2c194c4db
- Size of remote file:
- 265 MB
- SHA256:
- d9129756b81577d960ebae30134ddb2edb77bfa7c454b0f6aa5c9197b9c0606f
路
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.