Automatic Speech Recognition
Transformers
JAX
TensorBoard
Norwegian
whisper
audio
asr
hf-asr-leaderboard
Instructions to use NbAiLabArchive/scream_tertius_dropout_replicate_test7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLabArchive/scream_tertius_dropout_replicate_test7b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NbAiLabArchive/scream_tertius_dropout_replicate_test7b")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("NbAiLabArchive/scream_tertius_dropout_replicate_test7b") model = AutoModelForSpeechSeq2Seq.from_pretrained("NbAiLabArchive/scream_tertius_dropout_replicate_test7b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from NbAiLabArchive/scream_tertius_dropout_replicate_test7b: direct link, hf CLI and curl.
- Browser
- Download file 2.2 MB
-
https://huggingface.co/NbAiLabArchive/scream_tertius_dropout_replicate_test7b/resolve/main/tokenizer.json
- Command line
-
hf download hf://NbAiLabArchive/scream_tertius_dropout_replicate_test7b/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/NbAiLabArchive/scream_tertius_dropout_replicate_test7b/resolve/main/tokenizer.json
2.2 MB
File too large to display, you can check the raw version instead.