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 pytorch_model.bin from Neprox/STT-swedish-base-model: direct link, hf CLI and curl.
- Browser
- Download file 967 MB
-
https://huggingface.co/Neprox/STT-swedish-base-model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Neprox/STT-swedish-base-model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Neprox/STT-swedish-base-model/resolve/main/pytorch_model.bin
967 MB
- Xet hash:
- 9127376bf6d6e93e3eeaa9d2498a90212e982b3e12432d27b8b28957e60debbd
- Size of remote file:
- 967 MB
- SHA256:
- 91ce6238a05d5091610b6e7a40bb1c764045ebc1706b284aa690db1ae7958247
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