Instructions to use MachineWhisperer/my_awesome_mind_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MachineWhisperer/my_awesome_mind_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="MachineWhisperer/my_awesome_mind_model")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("MachineWhisperer/my_awesome_mind_model") model = AutoModelForAudioClassification.from_pretrained("MachineWhisperer/my_awesome_mind_model") - Notebooks
- Google Colab
- Kaggle
Commit ·
45f03bd
1
Parent(s): 0e1a7ae
Model save
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 378350441
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:288e2ef90ecee94d7bbce7ffcd549d458d708ef60df85e3e44c0428a2f4fd87b
|
| 3 |
size 378350441
|