Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2-bert
Generated from Trainer
Instructions to use Paywinful/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Paywinful/output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Paywinful/output")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Paywinful/output") model = AutoModelForCTC.from_pretrained("Paywinful/output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 8400
Browse files
logs/events.out.tfevents.1750841249.f207f2b5c89b.980.0
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 sha256:9c2e1790172f74b7e9e93ca5c7b81e37528bc62338186cccd48b13dc1beec250
|
| 3 |
+
size 30742
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1261983780
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1110fc0078bd09e5a5dd6649cf8ffb008b5a68efd7e309526b595a8829f6c919
|
| 3 |
size 1261983780
|