Instructions to use raidavid/whisper-tiny-rai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raidavid/whisper-tiny-rai with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="raidavid/whisper-tiny-rai")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("raidavid/whisper-tiny-rai") model = AutoModelForSpeechSeq2Seq.from_pretrained("raidavid/whisper-tiny-rai") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 3000
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 151061672
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2ca10cfc34a1d9660b3de919529c9462fee262acde54c43d4f3b2e10a335ee45
|
| 3 |
size 151061672
|
runs/Jan09_09-05-00_daviddeMacBook-Pro-M3.local/events.out.tfevents.1704762301.daviddeMacBook-Pro-M3.local.57175.0
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:bd751660508012e3e54d3fb95f9891460f94fe38e7541fd58cef594770563e7b
|
| 3 |
+
size 24982
|