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:
- b12cf419f253ace3e806a4c88cd85ead94e84fbcffcb0fb3703caf2dcb993e5e
- Size of remote file:
- 892 MB
- SHA256:
- 679fd341e8a6db96486ff6f6383bbf1ebab57e79cb7ebef1df5f9580572a3ec0
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