Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use ihanif/whisper-tiny-ps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ihanif/whisper-tiny-ps with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ihanif/whisper-tiny-ps")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ihanif/whisper-tiny-ps") model = AutoModelForSpeechSeq2Seq.from_pretrained("ihanif/whisper-tiny-ps", device_map="auto") - Notebooks
- Google Colab
- Kaggle
add results after 200 steps
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 sha256:2f19397a77dfbf603c0e1c72990858c57d2da9d95e1055ccbb435dc5329d4be8
|
| 3 |
size 151098921
|
runs/Dec18_14-47-23_129-146-179-188/events.out.tfevents.1671375054.129-146-179-188.128106.0
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 sha256:3318d8fcd6d2ecef9d25c70ac9aa43fdcaf14b08d8cbe2c057525700e12711b5
|
| 3 |
+
size 7993
|