Transformers
PyTorch
English
t5
text2text-generation
t5-small
natural language generation
conversational system
task-oriented dialog
Eval Results (legacy)
text-generation-inference
Instructions to use ConvLab/t5-small-nlg-sgd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ConvLab/t5-small-nlg-sgd with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ConvLab/t5-small-nlg-sgd") model = AutoModelForSeq2SeqLM.from_pretrained("ConvLab/t5-small-nlg-sgd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b40ee5a82434801c3fb2ef5f45225c9d01300b83f32b18667988369d2af4174
- Size of remote file:
- 242 MB
- SHA256:
- 764d269eb09a9a8e6bdbd72b0119b144f157b68764eea019f0f6061c2a4ca9c2
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