Instructions to use asini/wav2vec_tuto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asini/wav2vec_tuto with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="asini/wav2vec_tuto")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("asini/wav2vec_tuto") model = AutoModelForCTC.from_pretrained("asini/wav2vec_tuto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
add tokenizer
008553b -
add tokenizer
4298a7b
-
add tokenizer
405d800 -
add tokenizer
ae3c48e -
add tokenizer
9ba36b7 -
add tokenizer
35e837a -
add tokenizer
de2674f -
add tokenizer
e46d61b -
add tokenizer
283dbb8 -
add tokenizer
f62358e -
add tokenizer
3ca4283 -
add tokenizer
a1182b4 -
add tokenizer
a2b8ccc -
add tokenizer
1b62369
-
Training in progress, step 3500
fe2122a -
Training in progress, step 3000
3b27435 -
Training in progress, step 2500
4796a22 -
Training in progress, step 2000
d36b140 -
Training in progress, step 1500
5508670 -
Training in progress, step 1000
192663b -
Training in progress, step 500
da1984a -
add tokenizer
36e263f -
add tokenizer
698bed2 -
add tokenizer
fc0fe49 -
add tokenizer
251c9ff -
add tokenizer
f6c0fc1 -
add tokenizer
9a2e9ae -
add tokenizer
571e6b7 -
add tokenizer
92248d0 -
add tokenizer
988277c -
add tokenizer
3168bf7 -
add tokenizer
1dd0764 -
initial commit
868455c