Transformers
PyTorch
Safetensors
English
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use DReAMy-lib/t5-base-DreamBank-Generation-Emot-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-Emot-Char with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("DReAMy-lib/t5-base-DreamBank-Generation-Emot-Char") model = AutoModelForSeq2SeqLM.from_pretrained("DReAMy-lib/t5-base-DreamBank-Generation-Emot-Char", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 94da4d2f255afd6cf5259a8ffe1876f262371ab9e709d54c51e2f1cd207d6bb2
- Size of remote file:
- 892 MB
- SHA256:
- 92e50cea2da22297695e1ad831a9067269a203d443f2979366b46f4593a36308
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