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 ·
2a6d9d5
1
Parent(s): 6002c48
add tokenizer
Browse files
runs/Mar23_17-41-33_ip-172-31-29-56/1648057309.9693758/events.out.tfevents.1648057309.ip-172-31-29-56
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:29456be771c415c201b0f1ef958073fc2df14260c1ca5381e1a14084981b68a1
|
| 3 |
+
size 4558
|
runs/Mar23_17-41-33_ip-172-31-29-56/events.out.tfevents.1648057309.ip-172-31-29-56
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0955ad8c3933c66e9f3413eef400e20a834c176add9a45b7d38a16d8d2f496e3
|
| 3 |
+
size 4700
|