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.
Fuente del modelo
- Tipo
- Text model
- Tamaño del archivo
- 5,04 GB
- Versión
- vmodel
- Actualizado
- 26 sept 2026
- Descargas
- 2
- Fuente
- Hugging Face
Descripción de la fuente
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.
Fuentes
1 fuente
Fuentes
1 fuenteVerificado 29 ago
Artefactos del modelo
1 artefacto
Artefactos del modelo
1 artefactoExtractos de fuentes
2 extractos
Extractos de fuentes
2 extractos--- 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
