Automatic Speech Recognition
Transformers
PyTorch
JAX
TensorBoard
Safetensors
Norwegian
whisper
audio
asr
hf-asr-leaderboard
Instructions to use NbAiLabArchive/scream_medium_beta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLabArchive/scream_medium_beta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NbAiLabArchive/scream_medium_beta")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("NbAiLabArchive/scream_medium_beta") model = AutoModelForSpeechSeq2Seq.from_pretrained("NbAiLabArchive/scream_medium_beta") - Notebooks
- Google Colab
- Kaggle
Commit ·
ea16b11
1
Parent(s): 72f9cd8
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (f7e60c85aeeed7e644bd44f93b037f5dcf8db74e)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:7b9446818b01538a257657b597965dde5e7e262871175aa45be85436596736ec
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size 3055544304
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