Instructions to use Vkt/first_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vkt/first_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Vkt/first_model")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Vkt/first_model") model = AutoModelForCTC.from_pretrained("Vkt/first_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
add tokenizer
Browse files
runs/Apr01_14-57-59_a6838e6e7b70/1648825093.3458183/events.out.tfevents.1648825093.a6838e6e7b70.1723.13
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:445d0a2c6631b4c1c8741603b9b99c2ca635e922b01640f37ecf285397a81f86
|
| 3 |
+
size 4802
|
runs/Apr01_14-57-59_a6838e6e7b70/events.out.tfevents.1648825093.a6838e6e7b70.1723.12
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b7213cbcffff7c000a2c2b3cf84ca3c7b14b25d03c9cc83a96c0cadaf7ebb81e
|
| 3 |
+
size 4759
|