Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Indonesian
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use TheRains/cv9-special-batch8-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheRains/cv9-special-batch8-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="TheRains/cv9-special-batch8-tiny")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("TheRains/cv9-special-batch8-tiny") model = AutoModelForSpeechSeq2Seq.from_pretrained("TheRains/cv9-special-batch8-tiny") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 5000
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 151099049
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ea756d82fe59e5f7e9a0c6bbd145205fc9b1d2e2ff9d6a704d1106b443a422b4
|
| 3 |
size 151099049
|
runs/Aug06_15-17-55_dsai-server/events.out.tfevents.1691309898.dsai-server
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:c01f30ef035d3e028ae4f854b4786770b06b1f889de2a46c6217590020fb4244
|
| 3 |
+
size 37527
|