Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Catalan
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use JulioCastro/whisper-medium-ca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JulioCastro/whisper-medium-ca with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="JulioCastro/whisper-medium-ca")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("JulioCastro/whisper-medium-ca") model = AutoModelForSpeechSeq2Seq.from_pretrained("JulioCastro/whisper-medium-ca") - Notebooks
- Google Colab
- Kaggle
Commit ·
5f39e50
1
Parent(s): 8fcdb8f
Training in progress, step 2000
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 3055754841
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b718545dfcde378778da6493b75f04950cb33aa9bb118521bb851b486f4958d8
|
| 3 |
size 3055754841
|
runs/Dec17_13-19-25_129-146-107-233/events.out.tfevents.1671283218.129-146-107-233.68679.0
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 sha256:6e40f5526e6ea93fe1b084bf145eb0d0c8a7597f29f047a201a056dd90f3f64a
|
| 3 |
+
size 17473
|
trainv1.ipynb
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|