cvapict / yhi-message-type-paraphrase-mpnet-base-v2

huggingface.co
Total runs: 3
24-hour runs: 0
7-day runs: -1
30-day runs: -2
Model's Last Updated: August 30 2023
text-classification

Introduction of yhi-message-type-paraphrase-mpnet-base-v2

Model Details of yhi-message-type-paraphrase-mpnet-base-v2

cvapict/yhi-message-type-paraphrase-mpnet-base-v2

{'accuracy': 0.8536585365853658}

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("cvapict/yhi-message-type-paraphrase-mpnet-base-v2")
# Run inference
preds = model(["i loved the spiderman movie!", "pineapple on pizza is the worst 🤮"])
BibTeX entry and citation info
@article{https://doi.org/10.48550/arxiv.2209.11055,
doi = {10.48550/ARXIV.2209.11055},
url = {https://arxiv.org/abs/2209.11055},
author = {Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren},
keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
title = {Efficient Few-Shot Learning Without Prompts},
publisher = {arXiv},
year = {2022},
copyright = {Creative Commons Attribution 4.0 International}
}

Runs of cvapict yhi-message-type-paraphrase-mpnet-base-v2 on huggingface.co

3
Total runs
0
24-hour runs
-1
3-day runs
-1
7-day runs
-2
30-day runs

More Information About yhi-message-type-paraphrase-mpnet-base-v2 huggingface.co Model

More yhi-message-type-paraphrase-mpnet-base-v2 license Visit here:

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yhi-message-type-paraphrase-mpnet-base-v2 huggingface.co

yhi-message-type-paraphrase-mpnet-base-v2 huggingface.co is an AI model on huggingface.co that provides yhi-message-type-paraphrase-mpnet-base-v2's model effect (), which can be used instantly with this cvapict yhi-message-type-paraphrase-mpnet-base-v2 model. huggingface.co supports a free trial of the yhi-message-type-paraphrase-mpnet-base-v2 model, and also provides paid use of the yhi-message-type-paraphrase-mpnet-base-v2. Support call yhi-message-type-paraphrase-mpnet-base-v2 model through api, including Node.js, Python, http.

yhi-message-type-paraphrase-mpnet-base-v2 huggingface.co Url

https://huggingface.co/cvapict/yhi-message-type-paraphrase-mpnet-base-v2

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yhi-message-type-paraphrase-mpnet-base-v2 huggingface.co is an online trial and call api platform, which integrates yhi-message-type-paraphrase-mpnet-base-v2's modeling effects, including api services, and provides a free online trial of yhi-message-type-paraphrase-mpnet-base-v2, you can try yhi-message-type-paraphrase-mpnet-base-v2 online for free by clicking the link below.

cvapict yhi-message-type-paraphrase-mpnet-base-v2 online free url in huggingface.co:

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yhi-message-type-paraphrase-mpnet-base-v2 install

yhi-message-type-paraphrase-mpnet-base-v2 is an open source model from GitHub that offers a free installation service, and any user can find yhi-message-type-paraphrase-mpnet-base-v2 on GitHub to install. At the same time, huggingface.co provides the effect of yhi-message-type-paraphrase-mpnet-base-v2 install, users can directly use yhi-message-type-paraphrase-mpnet-base-v2 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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https://huggingface.co/cvapict/yhi-message-type-paraphrase-mpnet-base-v2

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Total runs: 9
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Growth Rate: 44.44%
Updated:December 24 2024