Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use chv5/t5-small-shuffled_take3-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chv5/t5-small-shuffled_take3-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("chv5/t5-small-shuffled_take3-small") model = AutoModelForSeq2SeqLM.from_pretrained("chv5/t5-small-shuffled_take3-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17ea89684a21f2020e8fea7457c68d67be6dd3b2a3e5f11d3d328eeaf9a58901
- Size of remote file:
- 242 MB
- SHA256:
- ce4216f8f436ea16fd3cfee407e224891a73ed839ec5ca1fa74711f81fa85ed9
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