Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
Generated from Trainer
Instructions to use Baselhany/Distilation_Whisper_base_bigger_samples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Baselhany/Distilation_Whisper_base_bigger_samples with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Baselhany/Distilation_Whisper_base_bigger_samples")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Baselhany/Distilation_Whisper_base_bigger_samples") model = AutoModelForSpeechSeq2Seq.from_pretrained("Baselhany/Distilation_Whisper_base_bigger_samples") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 7
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 223144592
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5ee6770e9578d96529b29dceafe218515d498ebd46a2c9af23f3c5e347ead2e1
|
| 3 |
size 223144592
|
runs/May23_09-50-45_689e3da280e9/events.out.tfevents.1747993846.689e3da280e9.19.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1836e880c33adf488a1d9f9485fdd573fadc245527d42472cccbb63e309a8265
|
| 3 |
+
size 14408
|