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:
- 56f461ea394ccc09acca272fc032330aa168483a3e38fcb6a5f330b891f399ed
- Size of remote file:
- 2.99 kB
- SHA256:
- 36afa4e77b4bf1e75c01a0047e7af514808b11deac4f473958d52dd100910d09
路
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.