Instructions to use FiveC/ViTay-SwitchOut with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FiveC/ViTay-SwitchOut with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FiveC/ViTay-SwitchOut") model = AutoModelForSeq2SeqLM.from_pretrained("FiveC/ViTay-SwitchOut", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3b93d59b7106659445e32179ca19ed65ce431dd1a58b005443605b9922fbee71
- Size of remote file:
- 5.97 kB
- SHA256:
- 0404f79d1cb33bf5dc98f425940128aa469fadea04006ccf552c6be3a4fbacec
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