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
- Xet hash:
- abb7ac4c118279b2f1766734f59b94b5d86087a500d37f910610d1dbe2218449
- Size of remote file:
- 3.36 GB
- SHA256:
- 634004c8a61a62a18042569f9fa13d937169314f77f5bcd190c33ed7d63ad9f2
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