Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use ezrab/whisper-tiny-minds14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ezrab/whisper-tiny-minds14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ezrab/whisper-tiny-minds14")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ezrab/whisper-tiny-minds14") model = AutoModelForSpeechSeq2Seq.from_pretrained("ezrab/whisper-tiny-minds14", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1950
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 sha256:62d032f1903721aa6cb73bda59f4daba28814cc8a33aea38cc88ba8758a251a3
|
| 3 |
size 151061672
|
runs/Oct02_19-50-16_dfd2db00b841/events.out.tfevents.1727898619.dfd2db00b841.1583.0
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 sha256:8c1a182ae01cfa245c74795650f5286bb0089f37f0975078f504594ad6af9edd
|
| 3 |
+
size 37610
|