Instructions to use FiveC/ViTay-RI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FiveC/ViTay-RI with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FiveC/ViTay-RI") model = AutoModelForSeq2SeqLM.from_pretrained("FiveC/ViTay-RI", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f8bd936b236ad0c96618c8772eade9a1d4b85da6b56531cb5fc4f6ab6707c169
- Size of remote file:
- 5.97 kB
- SHA256:
- 08058e3a0df4f308bc8c70212938eb60420a5582d905443cc9ca6b9f06ef2954
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