Instructions to use rishabhjain16/whisper-ft-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rishabhjain16/whisper-ft-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="rishabhjain16/whisper-ft-test")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("rishabhjain16/whisper-ft-test") model = AutoModelForSpeechSeq2Seq.from_pretrained("rishabhjain16/whisper-ft-test", device_map="auto") - 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:c6a9fa7e7221130136e0f9c2d3d7457642ce5aaa7a148c5c425688721ea1988e
|
| 3 |
+
size 966995080
|