Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Hindi
whisper
Generated from Trainer
Instructions to use Ojro/whisper-tiny-mn-semi-supervised with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ojro/whisper-tiny-mn-semi-supervised with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Ojro/whisper-tiny-mn-semi-supervised")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Ojro/whisper-tiny-mn-semi-supervised") model = AutoModelForSpeechSeq2Seq.from_pretrained("Ojro/whisper-tiny-mn-semi-supervised", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 6000
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 151061672
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:70ba96b70d61488ae20973dff8dd6c21d61123551aef71788d50cec2cc8eb368
|
| 3 |
size 151061672
|
runs/May02_18-51-28_UBOFFICE-ML1/events.out.tfevents.1714647093.UBOFFICE-ML1.1364.1
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:f78447b29d1cc1f21fdd33395e34ff65ec14a5ba28826ba6248069c1524bd056
|
| 3 |
+
size 60862
|