Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Norwegian
whisper
whisper-event
norwegian
Eval Results (legacy)
Instructions to use NbAiLab/whisper-small-nob with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/whisper-small-nob with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NbAiLab/whisper-small-nob")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("NbAiLab/whisper-small-nob") model = AutoModelForSpeechSeq2Seq.from_pretrained("NbAiLab/whisper-small-nob", device_map="auto") - Notebooks
- Google Colab
- Kaggle
recover
Browse files- run_recover.sh +1 -0
run_recover.sh
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deepspeed --master_port 29501 run_speech_recognition_seq2seq_streaming.py \
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--deepspeed="ds_config.json" \
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--resume_from_checkpoint="checkpoint-17000" \
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--ignore_data_skip \
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--dataset_name="NbAiLab/NCC_S" \
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deepspeed --master_port 29501 run_speech_recognition_seq2seq_streaming.py \
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--deepspeed="ds_config.json" \
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--model_name_or_path="openai/whisper-small" \
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--resume_from_checkpoint="checkpoint-17000" \
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--ignore_data_skip \
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--dataset_name="NbAiLab/NCC_S" \
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