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 model.safetensors from Sam3000/OUTPUT_DIR: direct link, hf CLI and curl.
- Browser
- Download file 5.9 MB
-
https://huggingface.co/Sam3000/OUTPUT_DIR/resolve/main/model.safetensors
- Command line
-
hf download hf://Sam3000/OUTPUT_DIR/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Sam3000/OUTPUT_DIR/resolve/main/model.safetensors
5.9 MB
- Xet hash:
- 59253782ce9ddab0b5f11e867ce48a7cb0a8ee3f417f29361e26001b30c53175
- Size of remote file:
- 5.9 MB
- SHA256:
- e4b22a94c5458f976484c163bc918e3959456b587828b43360ed06f7f76bd973
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