Instructions to use gincioks/whisper-tiny-lt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gincioks/whisper-tiny-lt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="gincioks/whisper-tiny-lt")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("gincioks/whisper-tiny-lt") model = AutoModelForMultimodalLM.from_pretrained("gincioks/whisper-tiny-lt") - 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:ffd1afb80538f7a93b929d478a4770eaf426d07ff76b186c4c2aa4278b0c3a82
|
| 3 |
+
size 151061672
|