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MODEL_ID
phospho-app/MODEL_ID
MODEL_ID is a feature extraction model from phospho-app. Use it when you need embeddings to search or compare text. It is set up for transformers. The card lists the license as apache-2.0.
This is a SetFit model that can be used for Text Classification on CPU.
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At a glance
- Task
- Feature Extraction
- Library
- transformers
- License
- apache-2.0
- Model type
- mpnet
- Access
- Public
- Created
- May 2, 2024
- Updated
- May 2, 2024
- SHA
- f1f359b3
Model card
From the Hugging Face model README
phospho-small
This is a SetFit model that can be used for Text Classification on CPU.
The model has been trained using an efficient few-shot learning technique.
Usage
from setfit import SetFitModel
model = SetFitModel.from_pretrained("MODEL_ID")
outputs = model.predict(["This is a sentence to classify", "Another sentence"])
# tensor([1, 0])
References
This work was possible thanks to the SetFit library and the work of:
Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren (2022). Efficient Few-Shot Learning Without Prompts.
- Task
- Feature Extraction
- Library
- transformers
- Type
- mpnet
- License
- apache-2.0
- Languages
- en
- Created
- May 2, 2024
- Updated
- May 2, 2024