Instructions to use JovialValley/model_syllable_onSet2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JovialValley/model_syllable_onSet2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="JovialValley/model_syllable_onSet2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("JovialValley/model_syllable_onSet2") model = AutoModelForCTC.from_pretrained("JovialValley/model_syllable_onSet2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
ec93083
1
Parent(s): c52fbe6
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 1261930541
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:42c2332e444432b9d282f19e557f5fec59dc42ff98558cd7596d9edf303ac150
|
| 3 |
size 1261930541
|
runs/Dec21_13-27-02_e46a3859c93c/events.out.tfevents.1671629240.e46a3859c93c.113833.0
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 sha256:0b1a4a71dd7f8116b25db0c779b31351b593c3bab93877a5160169b912357f04
|
| 3 |
+
size 59726
|