Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Nepali
whisper
Generated from Trainer
Instructions to use Jenny038/whisper-small-ne with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jenny038/whisper-small-ne with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Jenny038/whisper-small-ne")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Jenny038/whisper-small-ne") model = AutoModelForSpeechSeq2Seq.from_pretrained("Jenny038/whisper-small-ne", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Jenny Poudel commited on
Training in progress, step 600
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 sha256:12250dff98f17b65fb0ec9075d4b77e18d2b11b9ce99d87a9a913d07090182ad
|
| 3 |
size 966995080
|
runs/Sep04_10-17-10_89dab44fa861/events.out.tfevents.1725445033.89dab44fa861.37.0
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:f3be8ed5049435440442534fa800d5f89e1d0570e4ab7bf7d565167f4efce373
|
| 3 |
+
size 13619
|