Automatic Speech Recognition
Transformers
Safetensors
whisper
speech-recognition
asr
multilingual
99-languages
whisper-large-v3
whisper-large-v3-turbo
encoder-average
Merge
noesis
dubbing
bf16
dhcf-fno
Instructions to use AMAImedia/NOESIS-Whisper3-1.6B-Large-Turbo-Darwin-99LANG-BF16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AMAImedia/NOESIS-Whisper3-1.6B-Large-Turbo-Darwin-99LANG-BF16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="AMAImedia/NOESIS-Whisper3-1.6B-Large-Turbo-Darwin-99LANG-BF16")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("AMAImedia/NOESIS-Whisper3-1.6B-Large-Turbo-Darwin-99LANG-BF16") model = AutoModelForSpeechSeq2Seq.from_pretrained("AMAImedia/NOESIS-Whisper3-1.6B-Large-Turbo-Darwin-99LANG-BF16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
uses as ~ realtime
1
#1 opened about 2 months ago
by
malv-c