Instructions to use TopSlayer/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TopSlayer/model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="TopSlayer/model")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("TopSlayer/model") model = AutoModelForCTC.from_pretrained("TopSlayer/model") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2400
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1262168280
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:70f6671cbff9f084b6e499e87c73b5606b8e17ef3ade2c177cac8f979075a00a
|
| 3 |
size 1262168280
|
runs/Jul16_10-51-59_cs-01k0973tf4p7qwnpk6bn26bm6r/events.out.tfevents.1752663310.cs-01k0973tf4p7qwnpk6bn26bm6r.49177.0
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 sha256:3265ae22f7cd8b8e613d2dd707e7e0c164595fdf13c58b271033f7f0a5242501
|
| 3 |
+
size 20853
|