Transformers
PyTorch
Safetensors
English
t5
text2text-generation
Generated from Trainer
relation-extraction
text-generation-inference
Instructions to use DReAMy-lib/t5-base-DreamBank-Generation-Act-Char with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DReAMy-lib/t5-base-DreamBank-Generation-Act-Char with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("DReAMy-lib/t5-base-DreamBank-Generation-Act-Char") model = AutoModelForSeq2SeqLM.from_pretrained("DReAMy-lib/t5-base-DreamBank-Generation-Act-Char") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f307da188988a03312826e61e9414e42f2521e4576f4a3518b749650330a5859
- Size of remote file:
- 892 MB
- SHA256:
- 0cbbc35630e388b72d5786002b4a356d01cad3d4df5e66601bf2254a8e243766
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