Transformers
PyTorch
English
t5
text2text-generation
t5-small
dialog state tracking
conversational system
task-oriented dialog
text-generation-inference
Instructions to use ConvLab/t5-small-dst-tm1_tm2_tm3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ConvLab/t5-small-dst-tm1_tm2_tm3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ConvLab/t5-small-dst-tm1_tm2_tm3") model = AutoModelForSeq2SeqLM.from_pretrained("ConvLab/t5-small-dst-tm1_tm2_tm3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- daeb3f5cb921ec08e3e85f4cc62e1d4027b93e9418a64b3fd495138cfdd634d7
- Size of remote file:
- 242 MB
- SHA256:
- 0efaf10149b36d1aafb7d0449c98c035ee20cc51c42ea80bc8788a93f2971c4c
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