Instructions to use kosamit/whisper-tiny-tsukuyomi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kosamit/whisper-tiny-tsukuyomi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kosamit/whisper-tiny-tsukuyomi")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("kosamit/whisper-tiny-tsukuyomi") model = AutoModelForSpeechSeq2Seq.from_pretrained("kosamit/whisper-tiny-tsukuyomi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 40
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 151099494
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:56a5fc00086e191aa8ddaef971176eb8755a78a025cd6788ba7bcd6406ad95dd
|
| 3 |
size 151099494
|