Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
Generated from Trainer
Instructions to use Baselhany/Graduation_Project_Whisper_tiny3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Baselhany/Graduation_Project_Whisper_tiny3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Baselhany/Graduation_Project_Whisper_tiny3")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Baselhany/Graduation_Project_Whisper_tiny3") model = AutoModelForSpeechSeq2Seq.from_pretrained("Baselhany/Graduation_Project_Whisper_tiny3") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 11
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 151061672
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a03041c52f1abfc1a52a21123d89cc09d63424c8580996c1b1e472560fd6ef96
|
| 3 |
size 151061672
|
runs/Feb08_17-54-48_f50e17cc52ce/events.out.tfevents.1739037290.f50e17cc52ce.18.0
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 sha256:29b7cadd92ee471b0ac96a902395912847c0a744056b27a757bebfef0418ced2
|
| 3 |
+
size 28159
|