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", device_map="auto")# 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 315
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 sha256:0d32ef7370b99c6ac926e835763d1778e9fbe683aeba07fbafb33bc7929c08ed
|
| 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 sha256:0545c4e092476ea742064088bca234292e4271bea1003815114638524700096c
|
| 3 |
+
size 8084
|