Instructions to use SoooSlooow/bert-base-dialog-sum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SoooSlooow/bert-base-dialog-sum with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="SoooSlooow/bert-base-dialog-sum")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("SoooSlooow/bert-base-dialog-sum") model = AutoModelForMaskedLM.from_pretrained("SoooSlooow/bert-base-dialog-sum") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 03b0409c8bc3f1140c67c28c42a200bba2b9834f9f860739229b785167b90c2f
- Size of remote file:
- 4.92 kB
- SHA256:
- b704e921829dc92941b3e85bf5951511890cb65842e5f3671dc7b799d9644a88
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