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
add flax weights
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:601d4cf72dec2a2c2142a9c40ea690c81f5271d761a8c74723147a63470e8389
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size 124547110
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