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-user-multiwoz21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ConvLab/t5-small-nlg-user-multiwoz21 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ConvLab/t5-small-nlg-user-multiwoz21") model = AutoModelForSeq2SeqLM.from_pretrained("ConvLab/t5-small-nlg-user-multiwoz21", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ConvLab/t5-small-nlg-user-multiwoz21: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/ConvLab/t5-small-nlg-user-multiwoz21/resolve/main/tokenizer.json
- Command line
-
hf download hf://ConvLab/t5-small-nlg-user-multiwoz21/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ConvLab/t5-small-nlg-user-multiwoz21/resolve/main/tokenizer.json
2.42 MB
File too large to display, you can check the raw version instead.