While retrieval performance scales with model size, it is important to note that model size also has a direct impact on latency. The latency-performance trade-off becomes especially important in a production se
But this concept is similar, in that you can add additional LLMs to do a number of extra tasks and improve the security of your application.Black box isn’t the only security issue you face when using RAG applications though; another very important topic is privacy protection.Privacy concerns...
torch.cuda.OutOfMemoryError: HIP out of memory. Tried to allocate 2.00 MiB (GPU 0; 512.00 MiB total capacity; 150.39 MiB already allocated; 312.00 MiB free; 168.00 MiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentat...
@Wwwwei l.cpu().numpy().tolist() will get the static value of l in tracing. Then there is no l in onnx model any more. Please take a look at the example test_split_size_as_list here https://github.com/pytorch/pytorch/blob/master/test/onnx/test_pytorch_onnx_onnxruntime.py#L...
At this stage, multilingual fine-tuning is only supported with specific NeMo and Pytorch lightning versions(PTL<2.0). We suggest you to use the specific NeMo branch as shared here. The process of fine-tuning here can be split into following steps: Data download. Da...
chains are present, positional indices are offset by 100 residues. Each atom is connected to its 48 nearest-neighbor atoms. We use a hidden dimension (D) of 256 split over 8 attention heads. All models described in this work have 4.2 M parameters. ...
inference.greedy=True \ inference.add_BOS=False \ inference.tokens_to_generate=128 \ trainer.devices=2 \ trainer.num_nodes=1 \ tensor_model_parallel_size=2 \ pipeline_model_parallel_size=1 \ data_paths=["/workspace/nemo/tutorials/nlp/data/SQuAD/squad_test.jsonl"] \ pred_file_path="...
data[['value', 'site_id']].values X, y = create_dataset(dataset, time_steps) y = to_categorical(y, num_classes=len(sites)) # Build the LSTM model model = Sequential() model.add(LSTM(50, input_shape=(time_steps, 2))) model.add(Dense(len(sites), activation='softmax')) model...
virtualenv environment to run your YOLO v5 experiments as to not mess up dependencies of any existing project. Once you have activated the new environment, install the dependencies using pip. Make sure that the pip you are using is that of the new environment. You can do so by typing in ...
❓ Questions and Help I am trying to move from using legacy and use new provided features, i was doing this: from torchtext import legacy TEXT = legacy.data.Field(lower=True, batch_first=True) LABEL = legacy.data.LabelField(dtype=torch.fl...