Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Hindi
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use amitkayal/whisper-tiny-hi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amitkayal/whisper-tiny-hi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="amitkayal/whisper-tiny-hi")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("amitkayal/whisper-tiny-hi") model = AutoModelForSpeechSeq2Seq.from_pretrained("amitkayal/whisper-tiny-hi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
runs/Dec09_04-47-34_ip-172-16-55-140.ap-south-1.compute.internal/events.out.tfevents.1670561264.ip-172-16-55-140.ap-south-1.compute.internal.3203.0
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:c7a18799c3bcaa25c5242abf2ee129130733fd23c4f51c79ee0e251aa86216a2
|
| 3 |
+
size 31127
|