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 ·
078cf60
1
Parent(s): b2750a3
Training in progress, epoch 8
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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