Audio Classification
Transformers
TensorBoard
Safetensors
hubert
Generated from Trainer
Eval Results (legacy)
Instructions to use thelikhit/HuBERT-draft-version with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thelikhit/HuBERT-draft-version with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="thelikhit/HuBERT-draft-version")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("thelikhit/HuBERT-draft-version") model = AutoModelForAudioClassification.from_pretrained("thelikhit/HuBERT-draft-version", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from thelikhit/HuBERT-draft-version: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/thelikhit/HuBERT-draft-version/resolve/main/training_args.bin
- Command line
-
hf download hf://thelikhit/HuBERT-draft-version/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/thelikhit/HuBERT-draft-version/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- c4dfb9a013aeed1ad8437383bb6317c78c016dbc5093985da5dd038edb28c9bc
- Size of remote file:
- 5.3 kB
- SHA256:
- 3ce16e75c6197b52fd2ac42f4f8f899f3d42cdb2a7017f291b2b702bbf81b205
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