Automatic Speech Recognition
Transformers
JAX
TensorBoard
Norwegian
whisper
audio
asr
hf-asr-leaderboard
Instructions to use NbAiLabArchive/scream_sextusdecimus_virtual_tsfix_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLabArchive/scream_sextusdecimus_virtual_tsfix_small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NbAiLabArchive/scream_sextusdecimus_virtual_tsfix_small")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("NbAiLabArchive/scream_sextusdecimus_virtual_tsfix_small") model = AutoModelForSpeechSeq2Seq.from_pretrained("NbAiLabArchive/scream_sextusdecimus_virtual_tsfix_small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_state.bin from NbAiLabArchive/scream_sextusdecimus_virtual_tsfix_small: direct link, hf CLI and curl.
- Browser
- Download file 4.66 kB
-
https://huggingface.co/NbAiLabArchive/scream_sextusdecimus_virtual_tsfix_small/resolve/main/training_state.bin
- Command line
-
hf download hf://NbAiLabArchive/scream_sextusdecimus_virtual_tsfix_small/training_state.bin
-
curl -L -o training_state.bin https://huggingface.co/NbAiLabArchive/scream_sextusdecimus_virtual_tsfix_small/resolve/main/training_state.bin
4.66 kB
- Xet hash:
- 4c846b66fdfb7868d8f721a2eead1f41281014f0aa8aefd233fcda8cf7a10dee
- Size of remote file:
- 4.66 kB
- SHA256:
- 6496fbf8283195442fd942cb939e38d5de0b8ed59ac6e4710c755677fb5991e7
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