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:
- 4b2eed0c97a66958e5ae0d389505fdf7424abf1f6043b618addde8557a981bc2
- Size of remote file:
- 5.97 kB
- SHA256:
- d0e59770d01e16329b963d57c6bd5bb54ea48ad106d4feb3252aa473daa8ff72
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