Instructions to use tfedi/my_awesome_mind_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tfedi/my_awesome_mind_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="tfedi/my_awesome_mind_model")# Load model directly from transformers import AutoTokenizer, AutoModelForAudioClassification tokenizer = AutoTokenizer.from_pretrained("tfedi/my_awesome_mind_model") model = AutoModelForAudioClassification.from_pretrained("tfedi/my_awesome_mind_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32e28d0c66bb39d761ad09724f95035f387796fe344ea7cabe9ae83773788b30
- Size of remote file:
- 3.96 kB
- SHA256:
- b8b2441a9954c4fec40d67cc6455030512a6abd1b279bd1ccc9b8ff91f2ba1ec
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