Instructions to use marianna13/text-audio-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marianna13/text-audio-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="marianna13/text-audio-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("marianna13/text-audio-classification") model = AutoModelForSequenceClassification.from_pretrained("marianna13/text-audio-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1fc7d18464b2d87814df5a9271cc5d361b5a313f23ad7e0aab47b2a91e7aa8e2
- Size of remote file:
- 3.58 kB
- SHA256:
- c90ab7ec1e45cf8e29caa9df754771fbf7a3efa84e21bc3554b8a4fb6d4d745a
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