Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Swedish
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use Neprox/STT-swedish-base-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Neprox/STT-swedish-base-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Neprox/STT-swedish-base-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Neprox/STT-swedish-base-model") model = AutoModelForSpeechSeq2Seq.from_pretrained("Neprox/STT-swedish-base-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Neprox/STT-swedish-base-model: direct link, hf CLI and curl.
- Browser
- Download file 3.57 kB
-
https://huggingface.co/Neprox/STT-swedish-base-model/resolve/main/training_args.bin
- Command line
-
hf download hf://Neprox/STT-swedish-base-model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Neprox/STT-swedish-base-model/resolve/main/training_args.bin
3.57 kB
- Xet hash:
- 9e9e68b878d559f874b31704b57d799bbca8bc89a442d4a6239a70b498807163
- Size of remote file:
- 3.57 kB
- SHA256:
- a08cd8d897d181a410942894977708e14a4940dae3df3e365b9883957c6b47e0
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