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
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 4, | |
| "decoder_start_token_id": 13764, | |
| "eos_token_id": 3, | |
| "output_attentions": false, | |
| "output_hidden_states": false, | |
| "pad_token_id": 2, | |
| "transformers_version": "5.13.0" | |
| } | |