Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Chinese
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use mg5812/whisper-tiny-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mg5812/whisper-tiny-zh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mg5812/whisper-tiny-zh")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("mg5812/whisper-tiny-zh") model = AutoModelForSpeechSeq2Seq.from_pretrained("mg5812/whisper-tiny-zh", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 4000
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 151098921
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3f4ee06662de217b42577a8c37fadc54e0016c6adf47db7b1cd6fc37915c88ef
|
| 3 |
size 151098921
|
runs/May01_06-04-06_DESKTOP-10NJSB6/events.out.tfevents.1682892388.DESKTOP-10NJSB6.9286.0
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 sha256:266a8f5751176a302c59319bae8ca95c25217e6de119aa926e72a0d788ee8bcc
|
| 3 |
+
size 31174
|