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 ·
4e1fb1d
1
Parent(s): e0a8d50
Training in progress, step 150
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 sha256:30c7686e1b7d129e24d33fa5267b79b8374e369646e3ff5e6e7b7a1b67ee3c78
|
| 3 |
size 151099049
|
runs/Aug16_08-38-10_f4352d19420a/events.out.tfevents.1692175100.f4352d19420a.8752.1
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:a6f517290eb3e5f2ff24c3f7f4c49d43839c8aad37a67f8a5c932fe11f3cb10f
|
| 3 |
+
size 9246
|