Instructions to use goran/whisper-tiny.mk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use goran/whisper-tiny.mk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="goran/whisper-tiny.mk")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("goran/whisper-tiny.mk") model = AutoModelForSpeechSeq2Seq.from_pretrained("goran/whisper-tiny.mk", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 60
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 sha256:96238861def48c05e929fb4d2163c4f80af28282af4ada559228418b5e4961e0
|
| 3 |
size 151061672
|
runs/Mar07_00-23-55_beast/events.out.tfevents.1709767438.beast
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:cbc4fc2f070765bbe1b4aa261120adaaa9f47683eee28962656aa47350f74ccd
|
| 3 |
+
size 6361
|