Instructions to use FiveC/ViTay-delete with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FiveC/ViTay-delete with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FiveC/ViTay-delete") model = AutoModelForSeq2SeqLM.from_pretrained("FiveC/ViTay-delete", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 80b14e79912b61121c3f11f2d633b29cf742f5c1359ccdf843feb71143fb7066
- Size of remote file:
- 1.58 GB
- SHA256:
- 211ec1322fd66193e3216fc2ba310bfe42f968d361835718c09a28e96c369e9d
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