Transformers
Safetensors
t5
text2text-generation
Generated from Trainer
Eval Results (legacy)
text-generation-inference
Instructions to use Isotonic/plan_t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Isotonic/plan_t5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Isotonic/plan_t5") model = AutoModelForSeq2SeqLM.from_pretrained("Isotonic/plan_t5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dae189406c6c77a8f722f9309209c481a4d9b5e0933d7328bafe5027a8fbfe2a
- Size of remote file:
- 5.11 kB
- SHA256:
- 82f0e1e0e70db155272e3103face0df0a8253eb4120d638000796de797e7bbdf
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