Audio Classification
Transformers
PyTorch
TensorBoard
Allar
wav2vec2
fleurs-lang_id
google/xtreme_s
Generated from Trainer
Instructions to use anton-l/xtreme_s_xlsr_300m_fleurs_langid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anton-l/xtreme_s_xlsr_300m_fleurs_langid with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="anton-l/xtreme_s_xlsr_300m_fleurs_langid")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("anton-l/xtreme_s_xlsr_300m_fleurs_langid") model = AutoModelForAudioClassification.from_pretrained("anton-l/xtreme_s_xlsr_300m_fleurs_langid") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2 opened over 2 years ago
by
SFconvertbot
Librarian Bot: Add base_model information to model
#1 opened over 2 years ago
by
librarian-bot