Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
wav2vec2-bert
mozilla-foundation/common_voice_16_0
Generated from Trainer
Instructions to use hf-audio/wav2vec2-bert-CV16-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-audio/wav2vec2-bert-CV16-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hf-audio/wav2vec2-bert-CV16-en")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("hf-audio/wav2vec2-bert-CV16-en") model = AutoModelForCTC.from_pretrained("hf-audio/wav2vec2-bert-CV16-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download emissions.csv from hf-audio/wav2vec2-bert-CV16-en: direct link, hf CLI and curl.
- Browser
- Download file 300 Bytes
-
https://huggingface.co/hf-audio/wav2vec2-bert-CV16-en/resolve/main/emissions.csv
- Command line
-
hf download hf://hf-audio/wav2vec2-bert-CV16-en/emissions.csv
-
curl -L -o emissions.csv https://huggingface.co/hf-audio/wav2vec2-bert-CV16-en/resolve/main/emissions.csv
300 Bytes
| timestamp,experiment_id,project_name,duration,emissions,energy_consumed,country_name,country_iso_code,region,on_cloud,cloud_provider,cloud_region | |
| 2024-01-15T10:52:20,38dcde78-60b8-4d7d-b5e1-ec50d8986096,codecarbon,209628.10742759705,15.060385872282254,35.47092773900463,France,FRA,île-de-france,N,, | |