Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use rossevine/Check_Model_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rossevine/Check_Model_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="rossevine/Check_Model_1")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("rossevine/Check_Model_1") model = AutoModelForCTC.from_pretrained("rossevine/Check_Model_1") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 800
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1261983457
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3e2b1bd9c6fad47b06b063caaa417bb79544e2d05a0ee3fae76c54f522f84ce9
|
| 3 |
size 1261983457
|
runs/Aug31_09-28-16_hpc-Aquarium2/events.out.tfevents.1693448998.hpc-Aquarium2.16101.0
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 sha256:92f747ea7954622fa99ed3b2f7157633bc2b95e4c7fe13f61b4247742170874d
|
| 3 |
+
size 6512
|