Instructions to use Monsia/test-model-lg-data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Monsia/test-model-lg-data with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Monsia/test-model-lg-data")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Monsia/test-model-lg-data") model = AutoModelForCTC.from_pretrained("Monsia/test-model-lg-data", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 700
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1262046641
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:af98efdfa4653d7a0e8d4041273eed2a9a9ee6f58f92f405c55a9b4edb5a3ba8
|
| 3 |
size 1262046641
|
runs/Dec23_12-06-34_6df0effe2bd5/events.out.tfevents.1640261667.6df0effe2bd5.34.0
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:b2a00e9d7adbfcef38280faeae9587e7029feed52fa53c6a9e1940ce93ca346f
|
| 3 |
+
size 7491
|