Automatic Speech Recognition
Transformers
PyTorch
zenvision
ai
subtitles
video
transcription
translation
nlp
whisper
bert
computer-vision
audio-processing
multimodal
Eval Results (legacy)
Instructions to use Darveht/ZenVision-AI-Subtitle-Generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Darveht/ZenVision-AI-Subtitle-Generator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Darveht/ZenVision-AI-Subtitle-Generator")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Darveht/ZenVision-AI-Subtitle-Generator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| # ZenVision AI Subtitle Generator - Requirements | |
| # Modelo avanzado de 3GB+ con múltiples tecnologías de IA | |
| # Core ML/AI Libraries | |
| torch>=2.0.0 | |
| torchaudio>=2.0.0 | |
| transformers>=4.30.0 | |
| tensorflow>=2.13.0 | |
| scikit-learn>=1.3.0 | |
| # Audio/Video Processing | |
| openai-whisper>=20230918 | |
| moviepy>=1.0.3 | |
| opencv-python>=4.8.0 | |
| librosa>=0.10.0 | |
| scipy>=1.11.0 | |
| # NLP Libraries | |
| spacy>=3.6.0 | |
| nltk>=3.8.0 | |
| googletrans==4.0.0rc1 | |
| # Web Interface | |
| gradio>=3.40.0 | |
| # Utility Libraries | |
| numpy>=1.24.0 | |
| pandas>=2.0.0 | |
| matplotlib>=3.7.0 | |
| seaborn>=0.12.0 | |
| pillow>=10.0.0 | |
| requests>=2.31.0 | |
| tqdm>=4.65.0 | |
| # Audio Analysis | |
| pyaudio>=0.2.11 | |
| soundfile>=0.12.0 | |
| webrtcvad>=2.0.10 | |
| # Video Analysis | |
| imageio>=2.31.0 | |
| imageio-ffmpeg>=0.4.8 | |
| # Text Processing | |
| textblob>=0.17.1 | |
| langdetect>=1.0.9 | |
| python-Levenshtein>=0.21.0 | |
| # Development Tools | |
| jupyter>=1.0.0 | |
| ipython>=8.14.0 | |
| black>=23.7.0 | |
| flake8>=6.0.0 | |
| # System Dependencies (install with system package manager) | |
| # sudo apt-get install ffmpeg | |
| # python -m spacy download en_core_web_sm | |
| # python -m spacy download es_core_news_sm |