CoolFace
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Zabbonat/DDI

sourceHugging Faceupdated 2y agoView on Hugging Face
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The model is fine-tune on different case studies of companies using cloud services and earnings call transcripts from 2004 to 2007. The model is able to recognise the concept of data-driven innovation (OECD, 2015).

Model Details

Fine-tune of RoBERTa uncase

Model Sources

  • —Paper [optional]: [coming soon]

Uses

The model is able to recognise the concept of data-driven innovation (OECD, 2015).

  • —NoDDI : No Data-Driven Innovation
  • —DDI: Data-Driven Innovation

Example Pipeline

python
# Use a pipeline as a high-level helper
from transformers import pipeline
ddi = pipeline("text-classification", model="Zabbonat/DDI")
ddi('And another important point i would like to highlight, we selected google cloud as a technology partner to speed up the implementation of digital innovation')
[{'label': 'DDI', 'score': 0.99}]

Evaluation

  • —Accuracy: 0.78
  • —Precision 0.84
  • —Recall: 0.78
  • —F1-Score: 0.77

Environmental Impact

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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

  • —Hardware Type: [More Information Needed]
  • —Hours used: [More Information Needed]
  • —Cloud Provider: [More Information Needed]
  • —Compute Region: [More Information Needed]
  • —Carbon Emitted: [More Information Needed]