Instructions to use FiveC/ViTay-insert-original with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FiveC/ViTay-insert-original with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FiveC/ViTay-insert-original") model = AutoModelForSeq2SeqLM.from_pretrained("FiveC/ViTay-insert-original", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a809b8af21554e860ffdae56864ea79ae132d96f6a8e8da2c567b0ec5feb8226
- Size of remote file:
- 6.03 kB
- SHA256:
- 81d761f30eb9865c48e398defdfef63603525a2cb376a1422056ccf92483c784
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.