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, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("DReAMy-lib/t5-base-DreamBank-Generation-Act-Char") model = AutoModelForMultimodalLM.from_pretrained("DReAMy-lib/t5-base-DreamBank-Generation-Act-Char") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f35efb69513efe56d36b53fed2e5788377f03d973ed9e1c214ce6e5a835e4f6
- Size of remote file:
- 3.57 kB
- SHA256:
- d54792dd88dcf13e1bcceab3c686d6ef6d391e90f8c0db3ee17c492a99f2bf18
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