Instructions to use Almoooo/hasa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Almoooo/hasa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Almoooo/hasa")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Almoooo/hasa") model = AutoModelForSpeechSeq2Seq.from_pretrained("Almoooo/hasa") - Notebooks
- Google Colab
- Kaggle
Remove unnecessary file: whisper_model.zip
Browse files- whisper_model.zip +0 -3
whisper_model.zip
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:378e74dbb82c88ba88e4db36ac8ed5747d62e011a023cd1db802849b253f44f1
|
| 3 |
-
size 268603905
|
|
|
|
|
|
|
|
|
|
|
|