olegchomp

Just edit Aitextgen Colab 1) copy_file_from_gdrive("dataset_cache.tar.gz") 2) file_name = TokenDataset("dataset_cache.tar.gz", from_cache=True) 3) train_tokenizer(file_name) 

@Vaibhavs10 @akashAD98 can you please provide example code/notebook for diarization? something like this one https://github.com/Vaibhavs10/insanely-fast-whisper/blob/main/notebooks/infer_faster_whisper_large_v2.ipynb

> To make sure I understand your request, are you referring to creating an endpoint to discover which thresholds (none, a, or a and b) are available for a given...

``` from streamdiffusion.acceleration.tensorrt import accelerate_with_tensorrt stream = accelerate_with_tensorrt( stream, "engines", max_batch_size=2, ) ``` Yep, after changing to tensorrt got an error. But examples scrips work.

> got multiple values for keyword argument 'opt_batch_size' means give 'opt_batch_size' more than once, opt_batch_size=max_batch_size and engine_build_options, just del one of them Sorry but i can you explain solution. I've...

> > > got multiple values for keyword argument 'opt_batch_size' means give 'opt_batch_size' more than once, opt_batch_size=max_batch_size and engine_build_options, just del one of them > > > > > >...

``` import json import numpy as np import sys sys.stdout.encoding = 'utf-8' from ultralytics import YOLO # Load a pretrained YOLOv8n model model = YOLO('yolov8n.pt') # Create a random numpy...

Reupload image: https://postimg.cc/MnSkSpRr This happend only with YOLO package.

> Hey @olegchomp, it's happening the same thing to me in TD, did you end up finding a solution? Thanks! > > Joan nope, i think to make issue topic...

Sadly. As i understand porcupine have only cloud solution for training new words and openwakeword support only EN language.