Audio Classification
Transformers
Safetensors
text-classification
Generated from Trainer
Eval Results (legacy)
Instructions to use yangwang825/ce-len3-bs256-lr1e-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yangwang825/ce-len3-bs256-lr1e-3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="yangwang825/ce-len3-bs256-lr1e-3")# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("yangwang825/ce-len3-bs256-lr1e-3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from yangwang825/ce-len3-bs256-lr1e-3: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/yangwang825/ce-len3-bs256-lr1e-3/resolve/main/training_args.bin
- Command line
-
hf download hf://yangwang825/ce-len3-bs256-lr1e-3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/yangwang825/ce-len3-bs256-lr1e-3/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- 24c91480727d332dd744353a0aea6654da2540091e5219108ca7ed93c5a90a5b
- Size of remote file:
- 5.05 kB
- SHA256:
- 7540a4df0e59f82285ddccedc5c385940d694ded3fe66cba0105870af1d9c7c3
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