Instructions to use Southstreamer/design_extractor_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Southstreamer/design_extractor_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Southstreamer/design_extractor_bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Southstreamer/design_extractor_bert") model = AutoModelForSequenceClassification.from_pretrained("Southstreamer/design_extractor_bert") - Notebooks
- Google Colab
- Kaggle
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README.md
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license: apache-2.0
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# Design Extractor #
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Fine-tuned on BERT for design meeting sentence classification.
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Trained on a small dataset consisting of six different one-hour meetings between different software engineering groups
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(Jolak et al., [2018](https://doi.org/10.1109/MS.2018.290100920)).
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license: apache-2.0
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