Instructions to use MohammedNasri/whisper-larg-ar6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MohammedNasri/whisper-larg-ar6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MohammedNasri/whisper-larg-ar6")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("MohammedNasri/whisper-larg-ar6") model = AutoModelForSpeechSeq2Seq.from_pretrained("MohammedNasri/whisper-larg-ar6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
19e1fb7
1
Parent(s): 543e906
Upload model
Browse files- adapter_config.json +18 -0
- adapter_model.bin +3 -0
adapter_config.json
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{
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"base_model_name_or_path": "MohammedNasri/whisper-Large-ar3",
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"bias": "none",
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"enable_lora": null,
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"fan_in_fan_out": false,
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"inference_mode": true,
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"lora_alpha": 64,
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"lora_dropout": 0.05,
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"merge_weights": false,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 32,
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"target_modules": [
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"q_proj",
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"v_proj"
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],
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"task_type": null
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}
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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:08c0449ad5ef9fa8379913a21e81e87758f71d34da5ef5113c641448aa41a939
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size 63056269
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