repositoryName

@JvmName(name = "yorvmlvivqykbpjp")
suspend fun repositoryName(value: String)

Parameters

value

Name of the repository, which is generally the algorithm or library. Values include autogluon-inference, autogluon-training, blazingtext, djl-inference, factorization-machines, forecasting-deepar, huggingface-pytorch-inference, huggingface-pytorch-inference-neuron, huggingface-pytorch-inference-neuronx, huggingface-pytorch-tgi-inference, huggingface-pytorch-training, huggingface-pytorch-training-neuronx, huggingface-pytorch-trcomp-training, huggingface-tensorflow-inference, huggingface-tensorflow-training, huggingface-tensorflow-trcomp-training, image-classification, image-classification-neo, ipinsights, kmeans, knn, lda, linear-learner, mxnet-inference, mxnet-inference-eia, mxnet-training, ntm, object-detection, object2vec, pca, pytorch-inference, pytorch-inference-eia, pytorch-inference-graviton, pytorch-inference-neuronx, pytorch-training, pytorch-training-neuronx, pytorch-trcomp-training, randomcutforest, sagemaker-base-python, sagemaker-chainer, sagemaker-clarify-processing, sagemaker-data-wrangler-container, sagemaker-debugger-rules, sagemaker-geospatial-v1-0, sagemaker-inference-mxnet, sagemaker-inference-pytorch, sagemaker-inference-tensorflow, sagemaker-model-monitor-analyzer, sagemaker-mxnet, sagemaker-mxnet-eia, sagemaker-mxnet-serving, sagemaker-mxnet-serving-eia, sagemaker-neo-mxnet, sagemaker-neo-pytorch, sagemaker-neo-tensorflow, sagemaker-pytorch, sagemaker-rl-coach-container, sagemaker-rl-mxnet, sagemaker-rl-ray-container, sagemaker-rl-tensorflow, sagemaker-rl-vw-container, sagemaker-scikit-learn, sagemaker-spark-processing, sagemaker-sparkml-serving, sagemaker-tensorflow, sagemaker-tensorflow-eia, sagemaker-tensorflow-scriptmode, sagemaker-tensorflow-serving, sagemaker-tensorflow-serving-eia, sagemaker-tritonserver, sagemaker-xgboost, semantic-segmentation, seq2seq, stabilityai-pytorch-inference, tei, tei-cpu, tensorflow-inference, tensorflow-inference-eia, tensorflow-inference-graviton, tensorflow-training, and xgboost-neo.