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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
deeb026
1
Parent(s): 6613682
Training in progress, epoch 1
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:c047a3260decee4055868468d6369e6cc420c3afd7b6622c8a366457b7c6672d
|
| 3 |
size 378350441
|