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-all-multiwoz21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ConvLab/t5-small-nlu-all-multiwoz21 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ConvLab/t5-small-nlu-all-multiwoz21") model = AutoModelForSeq2SeqLM.from_pretrained("ConvLab/t5-small-nlu-all-multiwoz21", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ConvLab/t5-small-nlu-all-multiwoz21: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/ConvLab/t5-small-nlu-all-multiwoz21/resolve/bc32a2be5775c60a84ca37ea01fadd576688a0c8/pytorch_model.bin
- Command line
-
hf download hf://ConvLab/t5-small-nlu-all-multiwoz21@bc32a2be5775c60a84ca37ea01fadd576688a0c8/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ConvLab/t5-small-nlu-all-multiwoz21/resolve/bc32a2be5775c60a84ca37ea01fadd576688a0c8/pytorch_model.bin
242 MB
- Xet hash:
- 44679f8691ff7fb38de989ef159085a6b2f14d6e7974ab943c8d20bcc87184f9
- Size of remote file:
- 242 MB
- SHA256:
- d2b3511240bb34a710b4e9453898c10eede4dec73a441f72625f32673c926e2d
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