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:
- b8c81bd79db6ff691bf8975383c759a3de6f4dfae9a8cca52bcccbf154f75bd1
- Size of remote file:
- 374 MB
- SHA256:
- 1ab89e184e6dda3a7457b905b963ef46a6145ce34d515d06e52bad7d5028a55f
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