Model At CheckPoint 20000
This is a fully independent, merged deployment of the VibeVoice acoustic model fine-tuned for Egyptian Arabic at checkpoint 20000. It includes the integrated Qwen tokenizer configs and base weights side-by-side.
Fonte do modelo
- Tipo
- Text model
- Tamanho do arquivo
- 5,04 GB
- Versão
- vmodel
- Atualizado
- 26 de set. de 2026
- Downloads
- 2
- Fonte
- Hugging Face
Descrição da fonte
Model-At-checkPoint-20000
This is a fully independent, merged deployment of the VibeVoice acoustic model fine-tuned for Egyptian Arabic at checkpoint 20000. It includes the integrated Qwen tokenizer configs and base weights side-by-side.
📦 Repository Structure
model.safetensors: Independent merged model weights.voices/: Reference speech audio samples.- Tokenizer and configuration JSON files.
🚀 How to Use (Inference API / Colab)
import torch
from peft import PeftModel
# Load this repository directly using standard HuggingFace or VibeVoice modules:
# model = VibeVoiceForConditionalGeneration.from_pretrained("MohammedEhab20/Model-At-checkPoint-20000", trust_remote_code=True)
🎛️ Runtime Parameters (CFG Scale)
The Classifier-Free Guidance (CFG) scale is a runtime parameter and not baked into these weights. You can dynamically adjust it during inference calls:
- Higher CFG (e.g.,
5.0): Strict alignment with the prompt. - Lower CFG (e.g.,
3.5): More natural flow and creativity.
Fontes
1 fonte
Fontes
1 fonteVerificado 29 de ago.
Artefatos de modelo
1 artefato
Artefatos de modelo
1 artefatoTrechos de fonte
2 trechos
Trechos de fonte
2 trechos--- license: apache-2.0 language: - ar tags: - text-to-speech - tts - acoustic-model - vibevoice --- # Model-At-checkPoint-20000 This is a fully independent, merged deployment of the VibeVoice acoustic model fine-tuned for Egyptian Arabic at checkpoint 20000. It includes the integrated Qwen tokenizer configs and base weights side-by-side. ## 📦 Repository Structure * `model.safetensors`: Independent merged model weights. * `voices/`: Reference speech audio samples. * Tokenizer and configuration JSON files. ## 🚀 How to Use (Inference API / Colab) ```python import torch from peft import PeftModel # Load this repository directly using standard HuggingFace or VibeVoice modules: # model = VibeVoiceForConditionalGeneration.from_pretrained("MohammedEhab20/Model-At-checkPoint-20000", trust_remote_code=True) ``` ## 🎛️ Runtime Parameters (CFG Scale) The Classifier-Free Guidance (CFG) scale is a runtime parameter and **not baked into these weights**. You can dynamically adjust it during inference calls: * Higher CFG (e.g., `5.0`): Strict alignment with the prompt. * Lower CFG (e.g., `3.5`): More natural flow and creativity.
Source context: 2 downloads · 0 likes · Pipeline text-to-speech · Library vibevoice · Repo MohammedEhab20/Model-At-checkPoint-20000
