Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Russian
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use Kolbaster/whisper-medium-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kolbaster/whisper-medium-ru with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Kolbaster/whisper-medium-ru")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Kolbaster/whisper-medium-ru") model = AutoModelForSpeechSeq2Seq.from_pretrained("Kolbaster/whisper-medium-ru") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4f3bfe01fb70cd3801ab63252b1c1cc00f23b6e7b36fa29a256ac368ef8feefe
|
| 3 |
+
size 3055544304
|