Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Catalan
whisper
whisper-event
Generated from Trainer
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use softcatala/whisper-small-ca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use softcatala/whisper-small-ca with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="softcatala/whisper-small-ca")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("softcatala/whisper-small-ca") model = AutoModelForSpeechSeq2Seq.from_pretrained("softcatala/whisper-small-ca", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 20000
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 967099139
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c2ba58af2a68003daa1072ffbe6b5050cbb6e441f0edaba6c283872437949640
|
| 3 |
size 967099139
|
runs/Dec13_14-31-05_ip-172-31-35-217/events.out.tfevents.1670941897.ip-172-31-35-217.1508.0
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:d96ac0bdf549d3652954883f990b491ccff219baf7edd7c2a4c752b1b46e1098
|
| 3 |
+
size 133481
|