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 ·
bcd9a35
1
Parent(s): 7f40f46
Training in progress, epoch 28
Browse files
pytorch_model.bin
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runs/Feb27_20-18-38_luan-dev/events.out.tfevents.1677529122.luan-dev.11995.4
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