Instructions to use datarpit/toy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use datarpit/toy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="datarpit/toy")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("datarpit/toy") model = AutoModelForQuestionAnswering.from_pretrained("datarpit/toy") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9868402b4cc0d2917036458a576cee449861a76e7de58bf7db95daa393b5aa3b
- Size of remote file:
- 265 MB
- SHA256:
- d6c2409b70a8bfd71357a59564f73be086f55907f8bdceee6c9c0ea259917523
路
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.