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common_metaphors_detection
Sasidhar1826/common_metaphors_detection
common_metaphors_detection is a text classification model from Sasidhar1826. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
This model achieves an accuracy of 64% on specific metaphor data of small dataset. This is build upon bert-base-uncased this is not yet too much reliable to use in full scale as the metaphors meanings varies over the…
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Nov 7, 2024
- Updated
- Nov 9, 2024
- SHA
- b4d0b1b2
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Model card
From the Hugging Face model README
Common Metaphors Detection Model
This model achieves an accuracy of 64% on specific metaphor data of small dataset. This is build upon bert-base-uncased this is not yet too much reliable to use in full scale as the metaphors meanings varies over the context of the sentences and the trained data is specific for only some cases. If you train it over VU Amsterdam Metaphor Corpus you can get better results in overall.
Usage
You can load this model in your Hugging Face code as follows:
from transformers import AutoModel
model = AutoModel.from_pretrained('Sasidhar1826/common_metaphors_detection')
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Languages
- en
- Created
- Nov 7, 2024
- Updated
- Nov 9, 2024