Transformers
PyTorch
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use jvalline/randomization_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jvalline/randomization_model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jvalline/randomization_model") model = AutoModelForSeq2SeqLM.from_pretrained("jvalline/randomization_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d47535cd21221241e97457255cf796db3251b97fe3aa9fac664cb118c3ec4a51
- Size of remote file:
- 892 MB
- SHA256:
- 29029c19173945f90af71d176212460eb035fea0a79c181aaf8e33a7a80a72d8
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