def METHOD_NAME(base_model_name, hf_config, downstream_dict):
    model = Wav2Vec2ForSequenceClassification.from_pretrained(base_model_name, config=hf_config)
    model.projector.weight.data = downstream_dict["projector.weight"]
    model.projector.bias.data = downstream_dict["projector.bias"]
    model.classifier.weight.data = downstream_dict["model.post_net.linear.weight"]
    model.classifier.bias.data = downstream_dict["model.post_net.linear.bias"]
    return model