Audio Classification
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use Gyaneshere/my_awesome_mind_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gyaneshere/my_awesome_mind_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Gyaneshere/my_awesome_mind_model")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Gyaneshere/my_awesome_mind_model") model = AutoModelForAudioClassification.from_pretrained("Gyaneshere/my_awesome_mind_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Gyaneshere/my_awesome_mind_model: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/Gyaneshere/my_awesome_mind_model/resolve/main/training_args.bin
- Command line
-
hf download hf://Gyaneshere/my_awesome_mind_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Gyaneshere/my_awesome_mind_model/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 4cc67797deabe0bab9af55c9a78609c724422b1e96c799bad668e3ab04d5aac7
- Size of remote file:
- 5.37 kB
- SHA256:
- 5f38d88f14b114320da33fe6ff36ed8aa5a884efdbe0ef6dcc4b8677e02b9ac4
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