Instructions to use ConvLab/roberta-base-trippy-dst-multiwoz21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ConvLab/roberta-base-trippy-dst-multiwoz21 with Transformers:
# Load model directly from transformers import AutoTokenizer, TransformerForDST tokenizer = AutoTokenizer.from_pretrained("ConvLab/roberta-base-trippy-dst-multiwoz21") model = TransformerForDST.from_pretrained("ConvLab/roberta-base-trippy-dst-multiwoz21", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48ab410dccfa98927befb602dae4ec2382af4044db8a712e6d296a5e4eba40d9
- Size of remote file:
- 517 MB
- SHA256:
- 14b1fa04d3cbc62bef431241b00d6fa1d43e4a33fab75f6645db354006e18e8c
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