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
Upload model.bin with huggingface_hub
Browse files
model.bin
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:bbbd110a07f9e0b2135ac77154f1d29ed37722a5d1067b77f54a39a7f6902002
|
| 3 |
+
size 290425701
|