Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Malayalam
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use thennal/whisper-medium-ml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thennal/whisper-medium-ml with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="thennal/whisper-medium-ml")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("thennal/whisper-medium-ml") model = AutoModelForSpeechSeq2Seq.from_pretrained("thennal/whisper-medium-ml") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 3055754841
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d2752c80d4bef9e42a033caa75517c151154a78a82c65fdbd43b95921e4488c6
|
| 3 |
size 3055754841
|
runs/Dec15_04-36-46_129-146-107-200/events.out.tfevents.1671079302.129-146-107-200.157294.0
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:c3f0bfe5147c8656e8b73a8c79c78c86d8ace6382f1380b9a5ab59a93b69c994
|
| 3 |
+
size 53409
|