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-multiwoz21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ConvLab/t5-small-nlg-multiwoz21 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ConvLab/t5-small-nlg-multiwoz21") model = AutoModelForSeq2SeqLM.from_pretrained("ConvLab/t5-small-nlg-multiwoz21", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model
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Update README.md
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Update README.md
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Upload pytorch_model.bin with huggingface_hub
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Upload tokenizer_config.json with huggingface_hub
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Upload tokenizer.json with huggingface_hub
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Upload special_tokens_map.json with huggingface_hub
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Upload config.json with huggingface_hub
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Upload README.md with huggingface_hub
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initial commit
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