Instructions to use Atotti/Google-USM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Atotti/Google-USM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Atotti/Google-USM")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Atotti/Google-USM") model = AutoModel.from_pretrained("Atotti/Google-USM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -3,7 +3,7 @@ library_name: transformers
|
|
| 3 |
license: gemma
|
| 4 |
---
|
| 5 |
|
| 6 |
-
#
|
| 7 |
|
| 8 |
> [!Note]
|
| 9 |
> このモデルの実態は不明確です。[Introducing Gemma 3n: The developer guide](https://developers.googleblog.com/en/introducing-gemma-3n-developer-guide/#:~:text=Gemma%203n%20uses%20an%20advanced%20audio%20encoder%20based%20on%20the%20Universal%20Speech%20Model%20(USM).)には、
|
|
|
|
| 3 |
license: gemma
|
| 4 |
---
|
| 5 |
|
| 6 |
+
# Google USM: Extracted Gemma-3n Audio Encoder (USM)
|
| 7 |
|
| 8 |
> [!Note]
|
| 9 |
> このモデルの実態は不明確です。[Introducing Gemma 3n: The developer guide](https://developers.googleblog.com/en/introducing-gemma-3n-developer-guide/#:~:text=Gemma%203n%20uses%20an%20advanced%20audio%20encoder%20based%20on%20the%20Universal%20Speech%20Model%20(USM).)には、
|