Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use chv5/t5-small-shuffled_take1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chv5/t5-small-shuffled_take1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("chv5/t5-small-shuffled_take1") model = AutoModelForSeq2SeqLM.from_pretrained("chv5/t5-small-shuffled_take1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b44ad8362ad5bdde84545424e8a27a33c0c64ec8420bf1118f6c1525a4bfa3ef
- Size of remote file:
- 242 MB
- SHA256:
- 5ba4ccfcd57a8d08c0828e647b6571ae8fcaed1c468c6a458843a68c0991d5e6
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