Currently,auto_gptqsupports:LanguageModelingTask,SequenceClassificationTaskandTextSummarizationTask; more Tasks will come soon! Running tests Tests can be run with: pytest tests/ -s FAQ AutoGPTQ defaults to using exllamav2 int4*fp16 kernel for matrix multiplication. ...
importnemo_runasrunfromnemo.collectionsimportllmdefconfigure_recipe(nodes:int=1,gpus_per_node:int=2):recipe=llm.nemotron3_4b.pretrain_recipe(dir="/checkpoints/nemotron",# Path to store checkpointsname="nemotron_pretraining",tensor_parallelism=2,num_nodes=nodes,num_gpus_per_node=gpus_per_node...
Create an image classification job (Single Label) Create an image classification job (Multi-label) Image Label Verification Label Text Extract text information using named entity recognition Categorize text with text classification (Single Label) Categorize text with text classification (Multi-label) Video...
Large Language Models & Multimodal (LLM & MM) Speech AI Data Augmentation Speech Data Explorer Using Kaldi Formatted Data Speech Command Recognition General Optimizations Mixed Precision Training Multi-GPU Training NeMo, PyTorch Lightning, and Hydra Optimized Pretrained Models Resources Quickstart Getting St...
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA, USA, 18–24 June 2022; pp. 6543–6552. [Google Scholar] Chen, Y.; Ivanovic, B.; Pavone, M. Scept: Scene-consistent, policy-based trajectory predictions for planning. In ...
Text-to-image generation, large language model (LLM), and image captioning models Computer vision models Image classification, object detection, video classification, image segmentation, image generation, and optical character recognition (OCR) models Natural language processing (NLP) models Text classi...
Currently,auto_gptqsupports:LanguageModelingTask,SequenceClassificationTaskandTextSummarizationTask; more Tasks will come soon! Running tests Tests can be run with: FAQ AutoGPTQ defaults to using exllamav2 int4*fp16 kernel for matrix multiplication. ...
Create an LLM fine-tuning job using the AutoML API Supported models Dataset file types and input data format Hyperparameters Metrics Model deployment and predictions Create a Regression or Classification Job Using the Studio Classic UI Configure the default parameters of an Autopilot experiment (for ad...
Automatic Speech Recognition (ASR) Natural Language Processing (NLP) Text-to-Speech Synthesis (TTS) PyTorch Lightning Trainer Since every NeMo model is a LightningModule, we can automatically take advantage of the PyTorch Lightning Trainer. Every NeMo example training script uses the Trainer object to...
pythonexamples/nlp/token_classification/data/create_punctuation_capitalization_tarred_dataset.py\--text<PATH/TO/LOWERCASED/TEXT/WITHOUT/PUNCTUATION>\--labels<PATH/TO/LABELS/IN/NEMO/FORMAT>\--output_dir<PATH/TO/DIRECTORY/WITH/OUTPUT/TARRED/DATASET>\--num_batches_per_tarfile100 ...