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:
- 7e66c5f3a16d1884361a6f3e80e92fc606b8e949219a95b5897e2843e840efb1
- Size of remote file:
- 3.18 kB
- SHA256:
- 27f67dcc7c2cf89524c5c02b0159f37d195df354c5e23775bb54b520336ef0ed
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