Instructions to use FiveC/ViTay-delete with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FiveC/ViTay-delete with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FiveC/ViTay-delete") model = AutoModelForSeq2SeqLM.from_pretrained("FiveC/ViTay-delete", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0de82461270a2e55110e67946ccc10f5b37c8263da3b867bc4b8b9adfdeb8571
- Size of remote file:
- 5.97 kB
- SHA256:
- fb0542086ed61d156cb8697576800068cdfb63b522efa224ee5a27c952524e3e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.