Transformers
TensorBoard
Safetensors
Indonesian
pyannet
speaker-diarization
speaker-segmentation
modality:audio
modality:text
format:parquet
Generated from Trainer
Instructions to use whitneyten/whitneyTest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whitneyten/whitneyTest with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("whitneyten/whitneyTest", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from whitneyten/whitneyTest: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/whitneyten/whitneyTest/resolve/main/training_args.bin
- Command line
-
hf download hf://whitneyten/whitneyTest/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/whitneyten/whitneyTest/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- eab10ddc57ed568bd8f2a8da700640d0b2ddb702e99051d0c03cbbfcce5c1ce2
- Size of remote file:
- 5.3 kB
- SHA256:
- 6e6fbeaebc4912206a5be2889e06671a7741089366c2418d3515829595910865
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