Instructions to use Teimuri/whisper-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Teimuri/whisper-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Teimuri/whisper-tiny")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Teimuri/whisper-tiny") model = AutoModelForSpeechSeq2Seq.from_pretrained("Teimuri/whisper-tiny") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 4
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 sha256:5dd2d6fb9289a294502002a146cecac694bdd53660fac1fa1324112abc55f5c9
|
| 3 |
size 151061672
|
runs/Aug02_19-08-21_dml-3/events.out.tfevents.1722613101.dml-3
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6eeb9e2aeccc5f485aa488af72f4451352727ec0bff1ed98c81912ea00ec3d5e
|
| 3 |
+
size 6051
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5368
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d284333062ee7a07bfbdf897f2d20415953331925008358ec3429c0a295aabd6
|
| 3 |
size 5368
|