Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use mscs23021/Whisper_Small_Final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mscs23021/Whisper_Small_Final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mscs23021/Whisper_Small_Final")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("mscs23021/Whisper_Small_Final") model = AutoModelForSpeechSeq2Seq.from_pretrained("mscs23021/Whisper_Small_Final", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 966995080
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:00cf85b8c00be00cbd8b0159386b7ef109b07ad6c0f7ca885433eea3a1f2f6ea
|
| 3 |
size 966995080
|
runs/Apr24_00-25-11_57a82134dc2c/events.out.tfevents.1745454314.57a82134dc2c.31.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:769022d842aa2316382d8a0472439fbbb9f995c54bd26b73b32831a8f25bbd9c
|
| 3 |
+
size 6876
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5496
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ab66b6fd3c6967a5fa39a4b4a8d65783e0febf0d2eb50b0e7cb8187d06706775
|
| 3 |
size 5496
|