Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Spanish
whisper
Generated from Trainer
Instructions to use breco/whisper-tiny-all-audios with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use breco/whisper-tiny-all-audios with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="breco/whisper-tiny-all-audios")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("breco/whisper-tiny-all-audios") model = AutoModelForSpeechSeq2Seq.from_pretrained("breco/whisper-tiny-all-audios", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 25
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 sha256:79f0f49c75003abf8aa416bd3954a3b30530eaed3df811dc291b84c2c9cae40b
|
| 3 |
size 151061672
|
runs/Sep06_10-56-38_pop-os/events.out.tfevents.1725634618.pop-os.10047.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ef7759e936874e56e9ecce0e7e2577a96946030bfb0ddf53c8571b94c084da60
|
| 3 |
+
size 7222
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5368
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e897a4d284560d062a8dff87db71a3ad2cc871906466ce144f1597c1a9368da0
|
| 3 |
size 5368
|