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Displaying 112 results

Riva Speech Skills
NVIDIA
Riva Speech Skills is a scalable Conversational AI service platform.
Container
Riva Speech Skills
NVIDIA
Riva Speech Skills Helm Chart
Helm Chart
Riva Skills Embedded Quick Start
NVIDIA
Scripts and utilities for getting started with Riva Speech Skills on Embedded platforms
Resource
DeepPavlov
DeepPavlov
DeepPavlov is an open-source conversational AI library built on TensorFlow and Keras. DeepPavlov is designed for development of production ready chatbots and complex conversational systems, research in the area of NLP and, particularly, of dialog systems.
Container
Domain Classification English Bert
NVIDIA
Domain classification of the query for weather chat bot.
Model
Bertlargeuncased
NVIDIA
BERT Large Uncased trained on English Wikipedia and BookCorpus
Model
Megatron GPT2 345M
NVIDIA NeMo
345M parameter GPT generative Megatron model
Model
BioMegatron345mUncased
NVIDIA
Megatron pretrained on uncased biomedical dataset PubMed with 345 million parameters.
Model
Bertbaseuncased
NVIDIA
BERT Base Uncased trained on English Wikipedia and BookCorpus
Model
RIVA Punctuation and Capitalization for English
NVIDIA
For each word in the input text, the model: 1) predicts a punctuation mark that should follow the word (if any), the model supports commas, periods and question marks) and 2) predicts if the word should be capitalized or not.
Model
BioBERTLargeCasedForNeMo
NVIDIA
BioBERT-large cased model checkpoint for NeMo.
Model
BertLargeUncasedForNemo
NVIDIA
BERT Large Model trained with NeMo on uncased Wikipedia and Bookcorpus on a sequence length 512.
Model
BertBaseUncasedForNemo
NVIDIA
BERT Base Model trained on uncased Wikipedia and BookCorpus dataset on a sequence length of 512.
Model
Flowtron
NVIDIA
Flowtron is an Autoregressive Flow-based Network for Text-to-Mel-spectrogram Synthesis.
Model
BioMegatron345mCased
—
Megatron pretrained on cased biomedical dataset PubMed with 345 million parameters.
Model
RIVA Punctuation
NVIDIA
For each word in the input text, the model: 1) predicts a punctuation mark that should follow the word (if any), the model supports commas, periods and question marks) and 2) predicts if the word should be capitalized or not.
Model
BioMegatron345mUncasedSQuADv1
NVIDIA
BioMegatron 345M uncased model for Question Answering finetuned with NeMo on SQuAD v1.1 dataset.
Model
BertBaseUncasedSQuADv1
NVIDIA
BERT Base Uncased model for Question Answering finetuned with NeMo on SQuAD v1.1 dataset.
Model
Joint Intent and Slot Classification DistilBert
NVIDIA
Intent and Slot classification of the queries for the misty bot with DistilBert model trained on weather, smalltalk and POI (places of interest) data.
Model
BioBERTBaseCasedForNeMo
Nvidia
Model
Question Answering SQUAD2.0 Bert
NVIDIA
Question Answering Bert Base uncased model for extractive question answering on any provided content.
Model
QA squadv2.0 Bertbase
NVIDIA
Question answering model with BERT base encoder finetuned on SQuADv2.0
Model
Joint Intent and Slot Classification Bert
NVIDIA
Intent and Slot classification of the qeuries for the weather chat bot (trained on weather chat bot data).
Model
Punctuation and Capitalization Bert
NVIDIA
For each word in the input text, the model: 1) predicts a punctuation mark that should follow the word (if any), the model supports commas, periods and question marks) and 2) predicts if the word should be capitalized or not.
Model
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