Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Russian
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use Val123val/my_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Val123val/my_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Val123val/my_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Val123val/my_model") model = AutoModelForSpeechSeq2Seq.from_pretrained("Val123val/my_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1000
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 966995080
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9a76eec8cccbb24c4bb14a94b17ff3be0dbc61d89fe0a3fe7e7665d0475cf7d1
|
| 3 |
size 966995080
|
runs/Dec28_00-23-15_DESKTOP-1CUM2VF/events.out.tfevents.1703713101.DESKTOP-1CUM2VF.30008.0
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 sha256:04b9cb2695f4c3f2fac52432689d5800d56c8fe54de87a85812c5a06bfb4b768
|
| 3 |
+
size 12096
|