Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Urdu
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use abdullah090809/whisper-medium-ur with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abdullah090809/whisper-medium-ur with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="abdullah090809/whisper-medium-ur")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("abdullah090809/whisper-medium-ur") model = AutoModelForSpeechSeq2Seq.from_pretrained("abdullah090809/whisper-medium-ur", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Muhammad Abdullah commited on
Update README.md
Browse files
README.md
CHANGED
|
@@ -17,7 +17,7 @@ model-index:
|
|
| 17 |
name: Automatic Speech Recognition
|
| 18 |
type: automatic-speech-recognition
|
| 19 |
dataset:
|
| 20 |
-
name: Common Voice
|
| 21 |
type: mozilla-foundation/common_voice_11_0
|
| 22 |
config: ur
|
| 23 |
split: test
|
|
@@ -33,7 +33,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 33 |
|
| 34 |
# Whisper Medium Ur - Muhammad Abdullah on Common Voices 11
|
| 35 |
|
| 36 |
-
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice
|
| 37 |
It achieves the following results on the evaluation set:
|
| 38 |
- Loss: 0.4994
|
| 39 |
- Wer: 31.0422
|
|
|
|
| 17 |
name: Automatic Speech Recognition
|
| 18 |
type: automatic-speech-recognition
|
| 19 |
dataset:
|
| 20 |
+
name: Common Voice 11.0
|
| 21 |
type: mozilla-foundation/common_voice_11_0
|
| 22 |
config: ur
|
| 23 |
split: test
|
|
|
|
| 33 |
|
| 34 |
# Whisper Medium Ur - Muhammad Abdullah on Common Voices 11
|
| 35 |
|
| 36 |
+
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 11.0 dataset.
|
| 37 |
It achieves the following results on the evaluation set:
|
| 38 |
- Loss: 0.4994
|
| 39 |
- Wer: 31.0422
|