Instructions to use huyld/AI_class_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huyld/AI_class_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="huyld/AI_class_test")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("huyld/AI_class_test") model = AutoModelForCTC.from_pretrained("huyld/AI_class_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 4400
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1262337777
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1573b4ccfaa4e6ae762c778ca6fd4c82a2a698d205c13067b5508e421d8a6ce4
|
| 3 |
size 1262337777
|
runs/Feb10_14-07-57_918ff611193c/events.out.tfevents.1676038191.918ff611193c.655.0
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 sha256:7d112883feffdadbc9d978202f8986bbbda543cb0deadce846af43e7880adbe6
|
| 3 |
+
size 9403
|