Automatic Speech Recognition
Transformers
PyTorch
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use MarioNapoli/DynamicWav2Vec_TEST_10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MarioNapoli/DynamicWav2Vec_TEST_10 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MarioNapoli/DynamicWav2Vec_TEST_10")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("MarioNapoli/DynamicWav2Vec_TEST_10") model = AutoModelForCTC.from_pretrained("MarioNapoli/DynamicWav2Vec_TEST_10", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 406 Bytes
3347cb7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | {
"additional_special_tokens": [
{
"content": "<s>",
"lstrip": false,
"normalized": true,
"rstrip": false,
"single_word": false
},
{
"content": "</s>",
"lstrip": false,
"normalized": true,
"rstrip": false,
"single_word": false
}
],
"bos_token": "<s>",
"eos_token": "</s>",
"pad_token": "[PAD]",
"unk_token": "[UNK]"
}
|