Instructions to use techsword/wav2vec2-ls100-sid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use techsword/wav2vec2-ls100-sid with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="techsword/wav2vec2-ls100-sid")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("techsword/wav2vec2-ls100-sid") model = AutoModelForAudioClassification.from_pretrained("techsword/wav2vec2-ls100-sid", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Remove checkpoint-1300/ (duplicate of root weights + 723 MB pickled optimizer state)
Verified signature1444e44 -
Add library_name and license to model card metadata
Verified signature3bffc9f
-
Upload processor
Verified signature058cc16 -
Upload Wav2Vec2ForSequenceClassification
Verified signature605fc43 -
Create README.md
Verified signature5aa269f -
Fine-tuned wav2vec2-base model on LibriSpeech train-clean-100 for speaker ID
Verified signature7d5b7c9 -
initial commit
Verified signaturea479e26