Transformers
Safetensors
Slovenian
wav2vec2-bert
audio-frame-classification
prosody
segmentation
audio
speech
Instructions to use classla/wav2vecbert2-prosodicUnit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use classla/wav2vecbert2-prosodicUnit with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioFrameClassification processor = AutoProcessor.from_pretrained("classla/wav2vecbert2-prosodicUnit") model = AutoModelForAudioFrameClassification.from_pretrained("classla/wav2vecbert2-prosodicUnit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signaturefcd4672
-
Update README.md
Verified signature8e47d2c -
Upload output.gif
Verified signature97c80f4 -
Update README.md
Verified signatureb08f1ef -
Update README.md
Verified signature5df38ac
-
Add limitations and a caption for the gif.
fefb572 -
Add output.gif to readme
37c8654 -
Add evaluation details and env specs
6b6086c
-
Update README.md
Verified signatureBugfixf38ed29 -
Update README.md
Verified signatured87b2eb -
Update README.md
Verified signatureAdd example use8428e77 -
Update README.md
Verified signatureFirst draft of the READMEf1462b3 -
Upload feature extractor
Verified signature187e24d -
Upload Wav2Vec2BertForAudioFrameClassification
Verified signature4e66e8b -
initial commit
Verified signature721cff5