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:
- 82fb43a840af3582f18ede2b74f66e23609d8f01bcb18a20ece1c8a0518b5e6f
- Size of remote file:
- 3.57 kB
- SHA256:
- 772fb3cd27ad7fffb47be080ee83ba0d1e601a7a4fe9885eeed2750c5d2b8ea3
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