Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Korean
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use Roooy/whisper-tiny-ko-common with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Roooy/whisper-tiny-ko-common with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Roooy/whisper-tiny-ko-common")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Roooy/whisper-tiny-ko-common") model = AutoModelForSpeechSeq2Seq.from_pretrained("Roooy/whisper-tiny-ko-common", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 6000
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:d5cf06000103f611ce82d40d671a1799061e322c0f149246451802d0af95afc8
|
| 3 |
size 151061672
|
runs/Jul04_06-29-41_ttv-comfyui-release-roy/events.out.tfevents.1720074582.ttv-comfyui-release-roy.2378.2
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 sha256:1986975cbddd79c353c887c41c65dc01c061f3bd9af3166eb77a4056999f3fea
|
| 3 |
+
size 59774
|