Transformers
PyTorch
Chinese
mt5
text2text-generation
mt5-small
natural language understanding
conversational system
task-oriented dialog
Eval Results (legacy)
Instructions to use ConvLab/mt5-small-nlu-all-crosswoz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ConvLab/mt5-small-nlu-all-crosswoz with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ConvLab/mt5-small-nlu-all-crosswoz") model = AutoModelForSeq2SeqLM.from_pretrained("ConvLab/mt5-small-nlu-all-crosswoz", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
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