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")# pip install -U transformers accelerate # 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
Training in progress, step 36000
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1262075663
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:212f82a8ddccba9b36b73ec31c18986a0bfcf9cc2dde6bb70a014f9f89e59879
|
| 3 |
size 1262075663
|
runs/May17_17-01-00_dsbrwavvec2-0/events.out.tfevents.1652807394.dsbrwavvec2-0.869.0
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:f90cd6590fadf63c338191603efe11efe69b786e7448c117cf26583427231f17
|
| 3 |
+
size 47958
|