Instructions to use msanchez-tt/susurro-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use msanchez-tt/susurro-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="msanchez-tt/susurro-small")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("msanchez-tt/susurro-small") model = AutoModelForSpeechSeq2Seq.from_pretrained("msanchez-tt/susurro-small") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:baacbf3a182e95f1c82ac02e5e2abc9a6f1b7921493fa6fe41e0b61986ac8123
|
| 3 |
+
size 966995080
|