Transformers
PyTorch
English
t5
text2text-generation
t5-small
natural language understanding
conversational system
task-oriented dialog
text-generation-inference
Instructions to use ConvLab/t5-small-nlu-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-nlu-tm1_tm2_tm3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ConvLab/t5-small-nlu-tm1_tm2_tm3") model = AutoModelForSeq2SeqLM.from_pretrained("ConvLab/t5-small-nlu-tm1_tm2_tm3", device_map="auto") - 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 sha256:414e05bc86767a1dceb1d306c8cde9e4de399f43c067dc7d8dffd5ade3281498
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size 241984552
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