Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Galician
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use zuazo/whisper-tiny-gl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zuazo/whisper-tiny-gl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="zuazo/whisper-tiny-gl")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("zuazo/whisper-tiny-gl") model = AutoModelForSpeechSeq2Seq.from_pretrained("zuazo/whisper-tiny-gl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 4000
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 sha256:7784782292ffb75dfd2f9aa4db3a038eea400313eeba8a1d9706f4af84ec278b
|
| 3 |
size 151061672
|
runs/Jan02_16-03-37_hyperion-255/events.out.tfevents.1735830388.hyperion-255
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 sha256:034c57a70fd4c61d10be0e230af6957de8a613bf9c5ec534676ad7ae193a8bcd
|
| 3 |
+
size 31130
|