Audio Classification
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use italiyarishi/my_awesome_mind_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use italiyarishi/my_awesome_mind_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="italiyarishi/my_awesome_mind_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("italiyarishi/my_awesome_mind_model") model = AutoModelForAudioClassification.from_pretrained("italiyarishi/my_awesome_mind_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from italiyarishi/my_awesome_mind_model: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/italiyarishi/my_awesome_mind_model/resolve/e87407884b072e02791df4ac0cd9b61057820b8a/training_args.bin
- Command line
-
hf download hf://italiyarishi/my_awesome_mind_model@e87407884b072e02791df4ac0cd9b61057820b8a/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/italiyarishi/my_awesome_mind_model/resolve/e87407884b072e02791df4ac0cd9b61057820b8a/training_args.bin
5.37 kB
- Xet hash:
- 126caa48349dfeff4d5d485cd42c9e3724becd780d5821876afcd67e7f51af81
- Size of remote file:
- 5.37 kB
- SHA256:
- c796f962e0d69186769ce8cd60410821b7e054c039cf6e83b715028dde4720dc
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