Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use innovation64/whisper-tiny-dv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use innovation64/whisper-tiny-dv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="innovation64/whisper-tiny-dv")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("innovation64/whisper-tiny-dv") model = AutoModelForSpeechSeq2Seq.from_pretrained("innovation64/whisper-tiny-dv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
b761f75
1
Parent(s): ccb39e8
Training in progress, step 1000
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 151099494
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:22eee06d9c359c1f0a314d46dadd35af063d1f01a89c24b37ccaa3754801e739
|
| 3 |
size 151099494
|
runs/Oct29_14-26-27_0e6bb8397fd3/events.out.tfevents.1698589676.0e6bb8397fd3.219.0
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:dcfafd49fc1c27bb5a4a6613f92c3a11e8e845b344e37a5f20bb87cb169d9b67
|
| 3 |
+
size 13279
|