Instructions to use ShirinP/dialogsum_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShirinP/dialogsum_model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ShirinP/dialogsum_model") model = AutoModelForSeq2SeqLM.from_pretrained("ShirinP/dialogsum_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f791a4d3924b77f38f33fb28bd8a3d586513183c2c7132c2de19954bae6d02c
- Size of remote file:
- 3.52 kB
- SHA256:
- ae21cea2d7b03bbd36f603ce9cf5a130bda988aa2bd524f9091e496b863016fd
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