Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Vietnamese
whisper
VHM20191956-SpeechToText
Generated from Trainer
Instructions to use manhvh2601/whisper_data_self_tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use manhvh2601/whisper_data_self_tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="manhvh2601/whisper_data_self_tiny")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("manhvh2601/whisper_data_self_tiny") model = AutoModelForSpeechSeq2Seq.from_pretrained("manhvh2601/whisper_data_self_tiny") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 420
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:d1fd8457c2735718b9f53ddfd60373812c30e92c50247c5478180d4298240ce9
|
| 3 |
size 151061672
|
runs/Jan24_15-21-19_b519fedc9610/events.out.tfevents.1706109681.b519fedc9610.78907.0
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:dc76d7cd76b2bdb64d2f22fdbc8cef1a9826a542ce290af0d83fb248974f78cd
|
| 3 |
+
size 9030
|