Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
Generated from Trainer
Instructions to use Baselhany/Graduation_Project_Whisper_base_segment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Baselhany/Graduation_Project_Whisper_base_segment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Baselhany/Graduation_Project_Whisper_base_segment")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Baselhany/Graduation_Project_Whisper_base_segment") model = AutoModelForSpeechSeq2Seq.from_pretrained("Baselhany/Graduation_Project_Whisper_base_segment") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 4
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 290403936
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7a2d17463ad013203680ce7343660e774c6c0a0e45ebd3b27efcc1c90cec50f9
|
| 3 |
size 290403936
|
runs/Apr29_01-54-22_29ee97617b26/events.out.tfevents.1745891665.29ee97617b26.19.0
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 sha256:8a1114c1de3d46bcee66a06f72b9dff3ff099573c57fd3364cadb1a1e8c81e67
|
| 3 |
+
size 16832
|