Instructions to use FiveC/ViTay-delete-not-original with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FiveC/ViTay-delete-not-original with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FiveC/ViTay-delete-not-original") model = AutoModelForSeq2SeqLM.from_pretrained("FiveC/ViTay-delete-not-original", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 14b62f72fe6d9fc0cca6426b7038884918f3b4ab4d977a3e028bf705288e1e3a
- Size of remote file:
- 6.03 kB
- SHA256:
- 09f2acf874429847011f72d254bdb0de74afddf7cea7ae366fa43c8a245ce229
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