Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use IPPATAPUVENKATASRICHANDRA/whishper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IPPATAPUVENKATASRICHANDRA/whishper with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="IPPATAPUVENKATASRICHANDRA/whishper")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("IPPATAPUVENKATASRICHANDRA/whishper") model = AutoModelForSpeechSeq2Seq.from_pretrained("IPPATAPUVENKATASRICHANDRA/whishper", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 15
Browse files- model.safetensors +1 -1
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 sha256:4cbc46165baceb6d2705c5a5c5580fe065a7293ce957a0bb91afdc0a172754da
|
| 3 |
size 966995080
|