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
Commit ·
34e1877
1
Parent(s): 00705b1
Training in progress, epoch 1
Browse files- pytorch_model.bin +1 -1
- runs/Jun02_13-17-04_70e1cb6ab3d9/events.out.tfevents.1685711827.70e1cb6ab3d9.967.80 +2 -2
- runs/Jun02_13-25-24_70e1cb6ab3d9/1685712327.961737/events.out.tfevents.1685712327.70e1cb6ab3d9.967.83 +3 -0
- runs/Jun02_13-25-24_70e1cb6ab3d9/events.out.tfevents.1685712327.70e1cb6ab3d9.967.82 +3 -0
- training_args.bin +1 -1
pytorch_model.bin
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