Transformers
TensorBoard
Safetensors
pyannet
speaker-diarization
speaker-segmentation
Generated from Trainer
Instructions to use tgrhn/speaker-segmentation-fine-tuned-ami with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tgrhn/speaker-segmentation-fine-tuned-ami with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tgrhn/speaker-segmentation-fine-tuned-ami", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from tgrhn/speaker-segmentation-fine-tuned-ami: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/tgrhn/speaker-segmentation-fine-tuned-ami/resolve/main/training_args.bin
- Command line
-
hf download hf://tgrhn/speaker-segmentation-fine-tuned-ami/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/tgrhn/speaker-segmentation-fine-tuned-ami/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- b7e9b897720cc9def701c158ce5ba22df402864cee7fb781b4a4c18a1fcd9bbe
- Size of remote file:
- 5.05 kB
- SHA256:
- 5782019ff06327ce55183a44ce9ab80cc26cc031440b19ad27e02401d2424fcf
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