Instructions to use pere/tt5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pere/tt5-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("pere/tt5-small") model = AutoModelForSeq2SeqLM.from_pretrained("pere/tt5-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1874f08259520a2f48cf5cc9b0924f04f4aeaa082475be42ab403cded06eb3c6
- Size of remote file:
- 1.4 kB
- SHA256:
- 6fbbf43f2722ffb6d274c8b537443e189fc7e9d0ba8bedc3a972d6e9a771e655
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