Transformers
PyTorch
English
t5
text2text-generation
t5-small
natural language generation
conversational system
task-oriented dialog
Eval Results (legacy)
text-generation-inference
Instructions to use ConvLab/t5-small-nlg-multiwoz21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ConvLab/t5-small-nlg-multiwoz21 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ConvLab/t5-small-nlg-multiwoz21") model = AutoModelForSeq2SeqLM.from_pretrained("ConvLab/t5-small-nlg-multiwoz21") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -37,6 +37,10 @@ widget:
|
|
| 37 |
- text: "[request][taxi]([leave at][],[arrive by][])\n\nsystem: "
|
| 38 |
- text: "[inform][restaurant]([area][centre],[food][Indian],[choice][nine]);[request][restaurant]([price range][])\n\nsystem: "
|
| 39 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 40 |
---
|
| 41 |
|
| 42 |
# t5-small-nlg-multiwoz21
|
|
|
|
| 37 |
- text: "[request][taxi]([leave at][],[arrive by][])\n\nsystem: "
|
| 38 |
- text: "[inform][restaurant]([area][centre],[food][Indian],[choice][nine]);[request][restaurant]([price range][])\n\nsystem: "
|
| 39 |
|
| 40 |
+
inference:
|
| 41 |
+
parameters:
|
| 42 |
+
max_length: 100
|
| 43 |
+
|
| 44 |
---
|
| 45 |
|
| 46 |
# t5-small-nlg-multiwoz21
|