Instructions to use khalidey/ID2223_Lab2_Whisper_SV with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use khalidey/ID2223_Lab2_Whisper_SV with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="khalidey/ID2223_Lab2_Whisper_SV")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("khalidey/ID2223_Lab2_Whisper_SV") model = AutoModelForSpeechSeq2Seq.from_pretrained("khalidey/ID2223_Lab2_Whisper_SV") - 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:f8d824f4b21c993162a88d806a2c18fd050df6dc5ecd715b4e72a53e2d275407
|
| 3 |
+
size 966995080
|