Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2-bert
Generated from Trainer
Eval Results (legacy)
Instructions to use web2savar/mactest2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use web2savar/mactest2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="web2savar/mactest2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("web2savar/mactest2") model = AutoModelForCTC.from_pretrained("web2savar/mactest2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 300
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 2422978560
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bf89ea05201c55dfecb453c106b87bb84d93be69bef50584e0ab06792507713e
|
| 3 |
size 2422978560
|
runs/Jan24_13-17-01_e237200c6fff/events.out.tfevents.1706102275.e237200c6fff.435.0
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 sha256:85d07cc16fadf1a72a569db2c9da3a295989f51cdac2d116fade0bb5f22de04d
|
| 3 |
+
size 7526
|