Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Persian
whisper
fa-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use javadr/whisper-tiny-fa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use javadr/whisper-tiny-fa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="javadr/whisper-tiny-fa")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("javadr/whisper-tiny-fa") model = AutoModelForMultimodalLM.from_pretrained("javadr/whisper-tiny-fa") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 4500
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 151061672
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d61f98f153368c5444f0727c18200baffbfd7123ce9385de0f44daf1e3bb3617
|
| 3 |
size 151061672
|
runs/Jan03_09-25-55_Test/events.out.tfevents.1704273960.Test.19924.4
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:d3142f599e21caff33d061c41f90f9ad18089f1212528c41cd2af4b9371aeb6d
|
| 3 |
+
size 47725
|