Instructions to use Gnider/hack_rut5base_5ep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gnider/hack_rut5base_5ep with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Gnider/hack_rut5base_5ep") model = AutoModelForSeq2SeqLM.from_pretrained("Gnider/hack_rut5base_5ep") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad4206d2d807df0186f397005e90c7a4850e8238d28d522ec61f7cea63b2c446
- Size of remote file:
- 1 MB
- SHA256:
- 7a4eb87011448a4564a3144979384da51eee1da95e554feb22ccc85529535dd5
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