Instructions to use Shubham09/Whisper_sample_training with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shubham09/Whisper_sample_training with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Shubham09/Whisper_sample_training")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Shubham09/Whisper_sample_training") model = AutoModelForSpeechSeq2Seq.from_pretrained("Shubham09/Whisper_sample_training", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 20
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 967095881
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:82ebd4e50622f6a8af08c1490d34467e9525aa2217cf3d84f73a7e04729043fc
|
| 3 |
size 967095881
|
runs/Apr04_05-38-42_voice-dsvm/events.out.tfevents.1680586733.voice-dsvm.411903.0
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 sha256:671c2fe398ebe1837da71026a7911ad8fa3a87d3bd44b19f616696805a339801
|
| 3 |
+
size 5335
|