Instructions to use Shubham09/whisper31filescheck with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shubham09/whisper31filescheck with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Shubham09/whisper31filescheck")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Shubham09/whisper31filescheck") model = AutoModelForSpeechSeq2Seq.from_pretrained("Shubham09/whisper31filescheck", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
runs/Nov29_08-50-58_voiceVM/events.out.tfevents.1669711869.voiceVM.379753.2
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:f95fa2de397c06ebc280997020588bf925eab39f14defe7628fea1b3bc9c353e
|
| 3 |
+
size 5513
|