Automatic Speech Recognition
Transformers
Safetensors
English
whisper
text-generation-inference
unsloth
Instructions to use Lyte/Whisper-Small-Darija with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lyte/Whisper-Small-Darija with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Lyte/Whisper-Small-Darija")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Lyte/Whisper-Small-Darija") model = AutoModelForSpeechSeq2Seq.from_pretrained("Lyte/Whisper-Small-Darija", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
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Download README.md from Lyte/Whisper-Small-Darija: direct link, hf CLI and curl.
- Browser
- Download file 567 Bytes
-
https://huggingface.co/Lyte/Whisper-Small-Darija/resolve/main/README.md
- Command line
-
hf download hf://Lyte/Whisper-Small-Darija/README.md
-
curl -L -o README.md https://huggingface.co/Lyte/Whisper-Small-Darija/resolve/main/README.md
567 Bytes
metadata
base_model: unsloth/whisper-small
tags:
- text-generation-inference
- transformers
- unsloth
- whisper
license: apache-2.0
language:
- en
Uploaded finetuned model
- Developed by: Lyte
- License: apache-2.0
- Finetuned from model : unsloth/whisper-small
This whisper model was trained 2x faster with Unsloth and Huggingface's TRL library.
