Instructions to use anton-l/wav2vec2-base-lang-id with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anton-l/wav2vec2-base-lang-id with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="anton-l/wav2vec2-base-lang-id")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("anton-l/wav2vec2-base-lang-id") model = AutoModelForAudioClassification.from_pretrained("anton-l/wav2vec2-base-lang-id", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| timestamp,experiment_id,project_name,duration,emissions,energy_consumed,country_name,country_iso_code,region,on_cloud,cloud_provider,cloud_region | |
| 2021-10-01T12:33:47,2f022d5a-f047-41b6-a149-809aae8bf977,codecarbon,3643.7068734169006,0.2999506914741666,0.5296674756739654,USA,USA,Iowa,Y,gcp,us-central1 | |