Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use PhysHunter/whisper-tiny-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PhysHunter/whisper-tiny-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="PhysHunter/whisper-tiny-en")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("PhysHunter/whisper-tiny-en") model = AutoModelForSpeechSeq2Seq.from_pretrained("PhysHunter/whisper-tiny-en") - Notebooks
- Google Colab
- Kaggle
Commit ·
c3a07af
1
Parent(s): d4129e4
Training in progress, step 200
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 151099049
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9a69f8579ab54c54d6b170dbc044504ffe13df5a70dcf1d90356cc1a41404e7a
|
| 3 |
size 151099049
|
runs/Aug16_08-52-31_f4352d19420a/events.out.tfevents.1692175959.f4352d19420a.8752.2
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 sha256:99a9c094f7a5b214308fcf92b756b62ba97dfb4814bdd4825a4a515caed429b0
|
| 3 |
+
size 10402
|