Image Classification
Transformers
TensorBoard
Safetensors
English
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use MattyB95/VIT-ASVspoof2019-Mel_Spectrogram-Synthetic-Voice-Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MattyB95/VIT-ASVspoof2019-Mel_Spectrogram-Synthetic-Voice-Detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="MattyB95/VIT-ASVspoof2019-Mel_Spectrogram-Synthetic-Voice-Detection") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("MattyB95/VIT-ASVspoof2019-Mel_Spectrogram-Synthetic-Voice-Detection") model = AutoModelForImageClassification.from_pretrained("MattyB95/VIT-ASVspoof2019-Mel_Spectrogram-Synthetic-Voice-Detection") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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license:
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base_model: google/vit-base-patch16-224-in21k
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tags:
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- generated_from_trainer
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datasets:
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- imagefolder
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metrics:
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- name: Recall
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type: recall
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value: 0.6841833380294918
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Transformers 4.36.2
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- Pytorch 2.1.2+cu121
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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license: mit
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base_model: google/vit-base-patch16-224-in21k
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tags:
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- generated_from_trainer
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datasets:
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- imagefolder
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- LanceaKing/asvspoof2019
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metrics:
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- accuracy
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- f1
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- name: Recall
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type: recall
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value: 0.6841833380294918
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language:
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- en
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Transformers 4.36.2
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- Pytorch 2.1.2+cu121
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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