Instructions to use s15959/accent_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use s15959/accent_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="s15959/accent_classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("s15959/accent_classification") model = AutoModelForAudioClassification.from_pretrained("s15959/accent_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model
This is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.74f1cd0
-
Training in progress, epoch 10
152aa60 -
Training in progress, epoch 9
fb6195c -
Training in progress, epoch 8
8ad8886 -
Training in progress, epoch 7
cb6977d -
Training in progress, epoch 6
301386d -
Training in progress, epoch 5
e81862f -
Training in progress, epoch 4
45399fd -
Training in progress, epoch 3
cc534bc -
Training in progress, epoch 2
d20755a -
Training in progress, epoch 1
8d38e69 -
initial commit
c97ac74