Transformers
PyTorch
English
t5
text2text-generation
t5-small
natural language understanding
conversational system
task-oriented dialog
Eval Results (legacy)
text-generation-inference
Instructions to use ConvLab/t5-small-nlu-tm2-context3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ConvLab/t5-small-nlu-tm2-context3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ConvLab/t5-small-nlu-tm2-context3") model = AutoModelForSeq2SeqLM.from_pretrained("ConvLab/t5-small-nlu-tm2-context3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fcdbfcc84e6d0fe0280a1324be2ce10ca124a7b3a364e531f252dac79a6f4ab6
- Size of remote file:
- 242 MB
- SHA256:
- 316c14e0b98349b5425dae91b165eb70e13fc42303da945304b81808ac9212fc
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