Automatic Speech Recognition
Transformers
Safetensors
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use mouseyy/uk_wav2vec2_with_stress_mark with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mouseyy/uk_wav2vec2_with_stress_mark with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mouseyy/uk_wav2vec2_with_stress_mark")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("mouseyy/uk_wav2vec2_with_stress_mark") model = AutoModelForCTC.from_pretrained("mouseyy/uk_wav2vec2_with_stress_mark") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500
Browse files- model.safetensors +1 -1
- training_args.bin +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1261971480
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:07f09d13578c24512084d848ead0bbfa1a1f2c01f5d96557a8ef64a8f07b5019
|
| 3 |
size 1261971480
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5368
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:04562d4aec1a0109d261ae381b7857cbdeddef7649082faeecfd4ebdf549e8e2
|
| 3 |
size 5368
|