README.md

metadata

license: apache-2.0
tags:
  - setfit
  - sentence-transformers
  - text-classification
pipeline_tag: text-classification

Likang/OSS-Governance

This is a SetFit model that can be used for text classification. The model has been trained using an efficient few-shot learning technique that involves:

1. Fine-tuning a Sentence Transformer with contrastive learning.
2. Training a classification head with features from the fine-tuned Sentence Transformer.

Usage

To use this model for inference, first install the SetFit library:

python -m pip install setfit

You can then run inference as follows:

from setfit import SetFitModel

# Download from Hub and run inference
model = SetFitModel.from_pretrained("Likang/OSS-Governance-Update")
# Run inference
preds = model(["Let's schedule a meeting to discuss how to onboard new committers!"])

BibTeX entry and citation info

TBA