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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d06da9a7bd4358d5416957e2a6257d47c6d977d888105dc760b0d2cf6de7fe01
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size 241984552
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