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:
- f40a7a928d634e5a646b4561bc2da11267f87ad3d68706f741e7140b811a577f
- Size of remote file:
- 268 MB
- SHA256:
- 48c1bcc67d5ccf5d69f13646f7d0ce9c0f3a6fe376c6cd1bc461e1726ddd23ba
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