Instructions to use dropout05/t5-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dropout05/t5-tiny with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("dropout05/t5-tiny") model = AutoModelForSeq2SeqLM.from_pretrained("dropout05/t5-tiny") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ce6269607b98bf72c8193b201a311f77e0d49cf51d2bf5c4b79dad1f9bf341c
- Size of remote file:
- 125 MB
- SHA256:
- 601d4cf72dec2a2c2142a9c40ea690c81f5271d761a8c74723147a63470e8389
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