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AdapterHub/
xlm-roberta-base-lora-lm-yelp-polarity

Name: xlm-roberta-base-lora-lm-yelp-polarity
Availability: InStock

adapter-transformers

yelp_polarity

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Adapter `lenglaender/xlm-roberta-base-lora-lm-yelp-polarity` for google-t5/t5-base

An adapter for the google-t5/t5-base model that was trained on the yelp_polarity dataset and includes a prediction head for seq2seq lm.

This adapter was created for usage with the Adapters library.

Usage

First, install adapters:

pip install -U adapters

Now, the adapter can be loaded and activated like this:

python

from adapters import AutoAdapterModel

model = AutoAdapterModel.from_pretrained("google-t5/t5-base")
adapter_name = model.load_adapter("AdapterHub/xlm-roberta-base-lora-lm-yelp-polarity", source="hf", set_active=True)

Architecture & Training

LoRA has r=8 and alpha=8

Author Information

Author name: Leon Engländer
Author links: GitHub, Twitter

AdapterHub/xlm-roberta-base-lora-lm-yelp-polarity

Adapter lenglaender/xlm-roberta-base-lora-lm-yelp-polarity for google-t5/t5-base

Usage

Architecture & Training

Author Information

AdapterHub/
xlm-roberta-base-lora-lm-yelp-polarity

Adapter `lenglaender/xlm-roberta-base-lora-lm-yelp-polarity` for google-t5/t5-base