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 200
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:b37cb3f002c89debf64ade82bc72015a6e974a81f28b68068d8f5f9ab8946370
|
| 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:aaf0b39f81851df26e111821a0e64a6f8b7cee53cf9aece022f31cc4fdb4dae1
|
| 3 |
+
size 9855
|