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:
- 4f75d630ed542fc302b39374c1c1cade23d415725c57d7dfba07ecaf823745bd
- Size of remote file:
- 1.58 GB
- SHA256:
- 7f20017ec7364ce28eb8f4f1d49c5b0c3ca30d9582fb5c70cd8d7bd7d539fc35
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