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BigTMiami/
AA_seq_bn_P_micro

Name: AA_seq_bn_P_micro
Availability: InStock

adapter-transformers

roberta

BigTMiami/amazon_25M_10_000_condensed

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Adapter `BigTMiami/AA_seq_bn_P_micro` for roberta-base

An adapter for the roberta-base model that was trained on the BigTMiami/amazon_25M_10_000_condensed dataset and includes a prediction head for masked 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("roberta-base")
adapter_name = model.load_adapter("BigTMiami/AA_seq_bn_P_micro", source="hf", set_active=True)

BigTMiami/
AA_seq_bn_P_micro

Adapter `BigTMiami/AA_seq_bn_P_micro` for roberta-base

Usage

Architecture & Training

Evaluation results

Citation

BigTMiami/AA_seq_bn_P_micro

Adapter BigTMiami/AA_seq_bn_P_micro for roberta-base

Usage

Architecture & Training

Evaluation results

Citation

BigTMiami/
AA_seq_bn_P_micro

Adapter `BigTMiami/AA_seq_bn_P_micro` for roberta-base