Instructions to use a-l-m/nanoT5_logion_broken with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use a-l-m/nanoT5_logion_broken with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("a-l-m/nanoT5_logion_broken") model = AutoModelForSeq2SeqLM.from_pretrained("a-l-m/nanoT5_logion_broken") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
This model was trained using the LOGION tokenizer, but the last ids of it were used to indicate masks (that is, the first mask is id 50_000, the second mask is 49_999, the third mas is 49_998 etc.).
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