Automatic Speech Recognition
Transformers
JAX
TensorBoard
Norwegian
whisper
audio
asr
hf-asr-leaderboard
Instructions to use NbAiLabArchive/scream_duo_dropout_bpe_dropout with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLabArchive/scream_duo_dropout_bpe_dropout with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NbAiLabArchive/scream_duo_dropout_bpe_dropout")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("NbAiLabArchive/scream_duo_dropout_bpe_dropout") model = AutoModelForSpeechSeq2Seq.from_pretrained("NbAiLabArchive/scream_duo_dropout_bpe_dropout", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e0b4ab9a5a39e23e468ad9c947f3e90d53d7e67aeea5d40d5f51ab5dda1eb4a
- Size of remote file:
- 3.08 kB
- SHA256:
- eb7859e45cac9e3b29d8cd42ccc9faf3c77aa68a405cdff822bc62c29aa171e7
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