Instructions to use skpawar1305/wav2vec2-base-finetuned-digits with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use skpawar1305/wav2vec2-base-finetuned-digits with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="skpawar1305/wav2vec2-base-finetuned-digits")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("skpawar1305/wav2vec2-base-finetuned-digits") model = AutoModelForAudioClassification.from_pretrained("skpawar1305/wav2vec2-base-finetuned-digits") - Notebooks
- Google Colab
- Kaggle
Commit ·
7c91cd5
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Parent(s): c659944
Librarian Bot: Add base_model information to model (#1)
Browse files- Librarian Bot: Add base_model information to model (5a3b7ea84fab0cf9e9802518badfdf9007c9ec45)
Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>
README.md
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: wav2vec2-base-finetuned-digits
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results: []
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- generated_from_trainer
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metrics:
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- accuracy
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base_model: facebook/wav2vec2-base
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model-index:
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- name: wav2vec2-base-finetuned-digits
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results: []
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