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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d4b2d31151d01a872d3be176bb1bb5b30f8b8117a46f5d5408192b55305e9d8
- Size of remote file:
- 190 MB
- SHA256:
- f7a031c2a5aab6bf84f98c0e3a6d0f82fd092a63e5b2d8c107d2c0f22eade4f1
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