Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Hindi
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use shields/whisper-medium-catalan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shields/whisper-medium-catalan with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="shields/whisper-medium-catalan")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("shields/whisper-medium-catalan") model = AutoModelForSpeechSeq2Seq.from_pretrained("shields/whisper-medium-catalan") - Notebooks
- Google Colab
- Kaggle
End of training
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 sha256:6ce276365ab2679daacfc4a2021492b5543dbc139e88d66645dfd89b8e96b4c3
|
| 3 |
size 3055754841
|
runs/Feb11_08-48-06_5221205923e3/events.out.tfevents.1676106129.5221205923e3.1753.0
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:bd4cbf1664f1a5aa6d260d165401ab52925c722884edae57837019ae76d277e0
|
| 3 |
+
size 32075
|