Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Korean
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use freshpearYoon/train4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use freshpearYoon/train4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="freshpearYoon/train4")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("freshpearYoon/train4") model = AutoModelForSpeechSeq2Seq.from_pretrained("freshpearYoon/train4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
14fbdd6
1
Parent(s): c7c13fb
Training in progress, step 1000
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 sha256:0027fbfee50980fc81da2328af405c2d9f5824b8e310519234d335465061656d
|
| 3 |
size 290403936
|
runs/Jan10_01-07-05_skku-dsail/events.out.tfevents.1704816426.skku-dsail.3937127.0
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 sha256:093535b1f718fd9ed8e0b0e6051635a4f5f4069d23fef0567951cabc3b427ade
|
| 3 |
+
size 12186
|