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:
- 965f2f4475937c7b02add5e25d8b423eac98456372debebc5eb58ebd11bb8ff3
- Size of remote file:
- 242 MB
- SHA256:
- 4fa2857fba71e1e315ad95de30990b99411bde7c2cd9d3f32144c2d004f4dced
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