Instructions to use FiveC/ViTay-insert-swap with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FiveC/ViTay-insert-swap with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FiveC/ViTay-insert-swap") model = AutoModelForSeq2SeqLM.from_pretrained("FiveC/ViTay-insert-swap", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb77dc4b9863b814a799f34b01fd7572ef3d7b219a32775f6b727b3cb48d58ab
- Size of remote file:
- 1.58 GB
- SHA256:
- 73111b98c051be76fc832d3f9c7a2687d1582a1b06d73562818d75c89b4c6daf
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