Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Urdu
whisper
Speech
ASR
Whisper-fine-tuning
Instructions to use shaeel12/whisper-tiny-urdu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shaeel12/whisper-tiny-urdu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="shaeel12/whisper-tiny-urdu")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("shaeel12/whisper-tiny-urdu") model = AutoModelForSpeechSeq2Seq.from_pretrained("shaeel12/whisper-tiny-urdu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| language: | |
| - ur | |
| metrics: | |
| - wer | |
| base_model: | |
| - openai/whisper-tiny | |
| pipeline_tag: automatic-speech-recognition | |
| library_name: transformers | |
| tags: | |
| - Speech | |
| - ASR | |
| - Whisper-fine-tuning | |
| datasets: | |
| - ai4bharat/Kathbath | |
| - google/fleurs | |
| This model was fine-tuned on a combination of the following speech corpuses: | |
| * **ai4bharat/Kathbath** (via Hugging Face) | |
| * **google/fleurs** (via Hugging Face) | |
| * **Mozilla Common Voice (Urdu Subset):** Sourced directly from the official [Mozilla Data Collective](https://datacollective.mozillafoundation.org). |