Instructions to use emvecchi/socc_constructiveness with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use emvecchi/socc_constructiveness with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("roberta-base") model.load_adapter("emvecchi/socc_constructiveness", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from emvecchi/socc_constructiveness: direct link, hf CLI and curl.
- Browser
- Download file 1.18 kB
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https://huggingface.co/emvecchi/socc_constructiveness/resolve/main/README.md
- Command line
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hf download hf://emvecchi/socc_constructiveness/README.md
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curl -L -o README.md https://huggingface.co/emvecchi/socc_constructiveness/resolve/main/README.md
1.18 kB
metadata
tags:
- adapterhub:argument/quality
- roberta
- adapter-transformers
Adapter emvecchi/socc_constructiveness for roberta-base
An adapter for the roberta-base model that was trained on the SOCC dataset and includes a prediction head for classification.
This adapter was created for usage with the adapter-transformers library.
Usage
First, install adapter-transformers:
pip install -U adapter-transformers
Note: adapter-transformers is a fork of transformers that acts as a drop-in replacement with adapter support. More
Now, the adapter can be loaded and activated like this:
from transformers import AutoAdapterModel
model = AutoAdapterModel.from_pretrained("roberta-base")
adapter_name = model.load_adapter("emvecchi/socc_constructiveness", source="hf", set_active=True)