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
Training in progress, step 600
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 3055544304
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8050b506d5e214658a86ad08ee9d66133d77622aaad10c660b2c368f397b6de2
|
| 3 |
size 3055544304
|