Automatic Speech Recognition
Transformers
Safetensors
Arabic
English
cohere_asr
audio
speech-recognition
transcription
arabic
asr
arabic-asr
arabic-dialect
jordanian-arabic
Instructions to use Rlamas/Cohere-Jordanian-Dialect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rlamas/Cohere-Jordanian-Dialect with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Rlamas/Cohere-Jordanian-Dialect")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Rlamas/Cohere-Jordanian-Dialect") model = AutoModelForSpeechSeq2Seq.from_pretrained("Rlamas/Cohere-Jordanian-Dialect", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e34e35dd62b803ba5362bcb26d30b654afacacf369f632dc5908df59a4046152
- Size of remote file:
- 493 kB
- SHA256:
- 6d21e6a83b2d0d3e1241a7817e4bef8eb63bcb7cfe4a2675af9a35ff3bbf0e14
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