Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Korean
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use freshpearYoon/train3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use freshpearYoon/train3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="freshpearYoon/train3")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("freshpearYoon/train3") model = AutoModelForSpeechSeq2Seq.from_pretrained("freshpearYoon/train3") - Notebooks
- Google Colab
- Kaggle
Commit ·
54ee1ba
1
Parent(s): 3c5e0f8
Training in progress, step 2500
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 sha256:0ea1fea26dfd0e66454a18c6af49a082d9885e718e7e5c75d2ee5818967dba56
|
| 3 |
size 290403936
|
runs/Jan07_10-27-54_skku-dsail/events.out.tfevents.1704590878.skku-dsail.3346916.0
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:b1ff472306e5f9f389e1e7dcc5c7dac922881430ae26cb858692f315707b72a8
|
| 3 |
+
size 22701
|