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MindMiner
j-hartmann/MindMiner
MindMiner is a text classification model from j-hartmann. Use it when you need a label for a piece of text. It is set up for transformers.
Hartmann, J., Bergner, A., & Hildebrand, C. (2023). MindMiner: Uncovering Linguistic Markers of Mind Perception as a New Lens to Understand Consumer-Smart Object Relationships. Journal of Consumer Psychology, Forthcom…
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997 MB
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Jan 10, 2023
- Updated
- Nov 15, 2023
- SHA
- 41db9511
Try a prompt
Model card
From the Hugging Face model README
Hartmann, J., Bergner, A., & Hildebrand, C. (2023). MindMiner: Uncovering Linguistic Markers of Mind Perception as a New Lens to Understand Consumer-Smart Object Relationships. Journal of Consumer Psychology, Forthcoming.
You can apply MindMiner as follows:
from transformers import pipeline
model_name = "j-hartmann/MindMiner"
mindminer = pipeline(model=model_name, function_to_apply="none", device = 0)
For details, see: https://github.com/j-hartmann/MindMiner/blob/main/MindMiner.ipynb
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Jan 10, 2023
- Updated
- Nov 15, 2023