Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Nepali
whisper
Generated from Trainer
Instructions to use NKRSubedi/checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NKRSubedi/checkpoints with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NKRSubedi/checkpoints")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("NKRSubedi/checkpoints") model = AutoModelForSpeechSeq2Seq.from_pretrained("NKRSubedi/checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from NKRSubedi/checkpoints: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/NKRSubedi/checkpoints/resolve/main/training_args.bin
- Command line
-
hf download hf://NKRSubedi/checkpoints/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/NKRSubedi/checkpoints/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- 1a475cca00c02faacdaf97a9864c0fa922b6cd4f6289f970a6167d9259f48343
- Size of remote file:
- 5.43 kB
- SHA256:
- 22b6d12d71141479c4a7b9d556c83ca10423122065e9f61e0b198cecc6044bbf
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