Instructions to use Tomlim/myt5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tomlim/myt5-large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Tomlim/myt5-large") model = AutoModelForSeq2SeqLM.from_pretrained("Tomlim/myt5-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 963a9ccab89d0d92fc36171ae5e8f76a38c3adc7b8b4a6ba24ba64b11339b201
- Size of remote file:
- 11.4 MB
- SHA256:
- e681ae48588fb56896f73ddad960f24e4a0d83bb3a947941eb4df28bca8fb1d9
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