Instructions to use sourabhdattawad/spoken-language-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sourabhdattawad/spoken-language-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="sourabhdattawad/spoken-language-detection")# Load model directly from transformers import AutoProcessor, Wav2Vec2ForSpeechClassification processor = AutoProcessor.from_pretrained("sourabhdattawad/spoken-language-detection") model = Wav2Vec2ForSpeechClassification.from_pretrained("sourabhdattawad/spoken-language-detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1e2f4e9e48733657822bd8a3f12e587a526d1032a27f235cdd4c2de7d7f764f2
|
| 3 |
+
size 379890604
|