Instructions to use anton-l/distilhubert-ft-common-language with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anton-l/distilhubert-ft-common-language with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="anton-l/distilhubert-ft-common-language")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("anton-l/distilhubert-ft-common-language") model = AutoModelForAudioClassification.from_pretrained("anton-l/distilhubert-ft-common-language", 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 | |
| 2021-10-27T21:28:12,d3882e9a-e7e5-4a5e-bcdf-9a433e67b1ee,codecarbon,2280.1669363975525,0.16935276866480697,0.29905133085786156,USA,USA,Iowa,Y,gcp,us-central1 | |