fromtransformersimportWhisperForConditionalGeneration model=WhisperForConditionalGeneration.from_pretrained(model_name_or_path,load_in_8bit=True,device_map="auto") We use the LoRA implementation from Hugging Face’speftpackage. There are four steps to fine-tune a model using LoRA: ...
--- Configuration Arguments --- audio_path: dataset/test.wav model_path: models/whisper-tiny-finetune-ct2 language: zh use_gpu: True use_int8: False beam_size: 10 num_workers: 1 vad_filter: False local_files_only: True --- [0.0 - 8.0]:近几年,不但我用书给女儿压碎,也全说亲朋不...
Fine-tune on a custom datasetTo fine-tune a Whisper model on a custom dataset, the train/fine-tune_on_custom_dataset.py file can be used.Following is a sample command to perform the same:ngpu=4 # number of GPUs to perform distributed training on. torchrun --nproc_per_node=${ngpu}...
主要内容是如何使用本地服务器基于VITS微调(finetune)出想要的语音生成模型,并通过网页UI进行体验(也支持本地部署); 1 准备 1.1 硬件 带GPU的机器(服务器、PC、或google-colab) 内存:16GB+ 显存:16GB+ 建议使用N卡(我的方案是带一张T4的服务器) 1.2 系统要求 操作系统:linux python:3.9 1.3 环境依赖 1.3.1...
我理解Reward model直接fine-tune指的是Direct Preference Optimization (DPO) 吧，DPO和RL的还是有一定的...
[WFTE] Fine-tune Whisper using the CLI - Part 2 HuggingFace 22 0 [WFTE] Instantiate a GPU on Lambda - Part 2 HuggingFace 19 0 [WFTE] Create a Gradio Demo for your fine-tuned Whisper model HuggingFace 72 0 [WFTE] Instantiate a GPU on Lambda - Part 1 HuggingFace 29 0 [Whisp...
[LB 0.746] Finetuned OpenAI-Whisper Model menu Create Abu Noman Md. Sakib·1y ago· 113 views arrow_drop_up0 Copy & Edit5 more_vert Copied from Md Boktiar Mahbub Murad (+2,-11) NotebookInputOutputLogsComments (0) comment 0 Comments...
whisper v3 finetune 中文乱码问题的解决方案 最近学习了一下whisper的微调,主要是参考了github上的夜雨飘零大神项目。但是在操作中遇到了微调中文的时候出现了乱码的情况。以下是我这边对于微调过程中中文出现乱码情况的解决方案。 出现情况如下图所示: 系统环境...
4.通过ORPO技术微调 llama3大模型(Fine-tune Llama 3 with ORPO)2024-04-235.从零在win10上测试whisper、faster-whisper、whisperx在CPU和GPU的各自表现情况2024-05-10 收起 1f45bd1e8577af66a05f5e3fadb0b29 通过ORPO对llama进行微调 前言 ORPO是一种新颖的微调技术,它将传统的监督微调和偏好对齐阶段...
One such model is the Whisper ASR model developed by OpenAI, which is based on a Transformer encoder-decoder architecture and can handle multiple tasks such as language identification, transcription, and translation. However, there are still limitations to the Whisper ASR model, such...