Instructions to use ntoldalagi/C0_LID_DEV with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ntoldalagi/C0_LID_DEV with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ntoldalagi/C0_LID_DEV")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ntoldalagi/C0_LID_DEV") model = AutoModelForCTC.from_pretrained("ntoldalagi/C0_LID_DEV", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
244caa8
1
Parent(s): 0ca34e3
add tokenizer
Browse files
runs/Mar23_22-17-05_ip-172-31-29-56/1648073876.9718285/events.out.tfevents.1648073876.ip-172-31-29-56
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:02412c10d85d85913abd804fe29fa259e005ba3dfe4ca034fb574f845d97190c
|
| 3 |
+
size 4558
|
runs/Mar23_22-17-05_ip-172-31-29-56/events.out.tfevents.1648073876.ip-172-31-29-56
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:261e92426024fbda9a6a30f308fc14b4825068a1a8f5daf263ff639c8637dffe
|
| 3 |
+
size 4699
|