Instructions to use Vikhrmodels/VikhrT5-240m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vikhrmodels/VikhrT5-240m with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Vikhrmodels/VikhrT5-240m") model = AutoModelForSeq2SeqLM.from_pretrained("Vikhrmodels/VikhrT5-240m") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4e9a889f510e11aa0c1e75cf7c5d71a9dbd32533ef30071863ee6cfcbdd0978a
- Size of remote file:
- 1.15 GB
- SHA256:
- 92879aa1800f076c8f1d209cf3681e269448e33dce1bb50a6ed7e6274b3b20bd
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