Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
Generated from Trainer
Instructions to use Baselhany/Graduation_Project_distillation_Whisper_base2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Baselhany/Graduation_Project_distillation_Whisper_base2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Baselhany/Graduation_Project_distillation_Whisper_base2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Baselhany/Graduation_Project_distillation_Whisper_base2") model = AutoModelForSpeechSeq2Seq.from_pretrained("Baselhany/Graduation_Project_distillation_Whisper_base2") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 8
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:b4445ddec19056dac9ec34ad9f2bc8c634433c604105353809dea3b9acfdcfe1
|
| 3 |
size 223144592
|
runs/Jun19_23-51-25_9df7abaee3ea/events.out.tfevents.1750377086.9df7abaee3ea.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 sha256:123695b0e7e27e95827fbe4ec491aa34038b887036c81189478b27e4f8b1eb1f
|
| 3 |
+
size 18108
|