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 pytorch_model.bin from Neprox/model: direct link, hf CLI and curl.
- Browser
- Download file 967 MB
-
https://huggingface.co/Neprox/model/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://Neprox/model@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Neprox/model/resolve/refs%2Fpr%2F1/pytorch_model.bin
967 MB
- Xet hash:
- 3367c7eec31a893a89338c54a80729a043766952f4e0e422fb666f5573691da2
- Size of remote file:
- 967 MB
- SHA256:
- 9f111cbff87575ec747ee7d378ae065449ec7bbf67b9645f041aa9536abac2b1
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