Automatic Speech Recognition
Transformers
Safetensors
English
Arabic
gemma3n
image-text-to-text
text-generation-inference
unsloth
egyptian
codeswitch
arabic
masry
Instructions to use oddadmix/MasriSwitch-Gemma3n-Transcriber-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oddadmix/MasriSwitch-Gemma3n-Transcriber-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="oddadmix/MasriSwitch-Gemma3n-Transcriber-v1")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("oddadmix/MasriSwitch-Gemma3n-Transcriber-v1") model = AutoModelForMultimodalLM.from_pretrained("oddadmix/MasriSwitch-Gemma3n-Transcriber-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- 0a8cd9eb3fd5180ae8aa43ab4e2f978f6d846ac0d8b23dbe6ce048893188ddd3
- Size of remote file:
- 33.4 MB
- SHA256:
- b6c35ee648c07754b44cd9e371c75d4caa05c4504910b7ad29b1847ee9d8ba5d
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