Transformers
TensorBoard
Safetensors
Bengali
pyannet
speaker-diarization
speaker-segmentation
bangla
bengali
pyannote
audio
Generated from Trainer
Instructions to use Sam3000/OUTPUT_DIR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sam3000/OUTPUT_DIR with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Sam3000/OUTPUT_DIR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Sam3000/OUTPUT_DIR: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/Sam3000/OUTPUT_DIR/resolve/main/training_args.bin
- Command line
-
hf download hf://Sam3000/OUTPUT_DIR/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Sam3000/OUTPUT_DIR/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 04726a3c60303c00bb5442ef83049fc5157af5e197885b384dd6fcd25231560b
- Size of remote file:
- 5.3 kB
- SHA256:
- 37f7aeaf09d8f2875a4907bde327dc591bfae348eba35a307814adf532d735bc
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