Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Swedish
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use Neprox/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Neprox/model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Neprox/model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Neprox/model") model = AutoModelForSpeechSeq2Seq.from_pretrained("Neprox/model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Neprox/model: direct link, hf CLI and curl.
- Browser
- Download file 3.5 kB
-
https://huggingface.co/Neprox/model/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://Neprox/model@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Neprox/model/resolve/refs%2Fpr%2F1/training_args.bin
3.5 kB
- Xet hash:
- 2c6b285f2f34feafa39906cf87a5d0c1542d54780088e9858adaf8c8ca99a902
- Size of remote file:
- 3.5 kB
- SHA256:
- 02b4d5e89e673959b3bb7c7c6f8ba2c0632eec8fa2025c3c50700b268f904fd0
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