Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2-bert
librispeech_asr
Generated from Trainer
Instructions to use ylacombe/wav2vec2-bert-CV16-en-libri with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ylacombe/wav2vec2-bert-CV16-en-libri with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ylacombe/wav2vec2-bert-CV16-en-libri")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ylacombe/wav2vec2-bert-CV16-en-libri") model = AutoModelForCTC.from_pretrained("ylacombe/wav2vec2-bert-CV16-en-libri", 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 | |
| 2024-01-16T12:18:10,100ce0c1-abd3-4e89-a129-ac49a10532a2,codecarbon,5727.051881551743,0.48059596920304154,1.131922185780931,France,FRA,île-de-france,N,, | |
| 2024-01-16T14:32:52,fc5dbc38-c7d4-40f7-94ab-dd0de4d1b430,codecarbon,4902.239959001541,0.33650212333732155,0.7925455962511117,France,FRA,île-de-france,N,, | |
| 2024-01-16T16:44:29,be3ee4e5-8b23-482a-802c-91b438696e7d,codecarbon,6446.471297740936,0.453908136580529,1.069065749664906,France,FRA,île-de-france,N,, | |