Instructions to use ppparkker/wav2vec2-xls-r-300m-S2P-korean with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ppparkker/wav2vec2-xls-r-300m-S2P-korean with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ppparkker/wav2vec2-xls-r-300m-S2P-korean", device_map="auto")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ppparkker/wav2vec2-xls-r-300m-S2P-korean") model = AutoModelForCTC.from_pretrained("ppparkker/wav2vec2-xls-r-300m-S2P-korean", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,140 Bytes
c63347a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 | {
"added_tokens_decoder": {
"41": {
"content": "[UNK]",
"lstrip": false,
"normalized": true,
"rstrip": false,
"single_word": false,
"special": true
},
"42": {
"content": "[PAD]",
"lstrip": false,
"normalized": true,
"rstrip": false,
"single_word": false,
"special": true
},
"43": {
"content": "<s>",
"lstrip": false,
"normalized": true,
"rstrip": false,
"single_word": false,
"special": true
},
"44": {
"content": "</s>",
"lstrip": false,
"normalized": true,
"rstrip": false,
"single_word": false,
"special": true
}
},
"bos_token": "<s>",
"cache_dir": "/content/drive/MyDrive/here",
"clean_up_tokenization_spaces": false,
"do_phonemize": false,
"eos_token": "</s>",
"model_max_length": 1000000000000000019884624838656,
"pad_token": "[PAD]",
"phone_delimiter_token": "|",
"phonemizer_backend": "espeak",
"phonemizer_lang": "en-us",
"tokenizer_class": "Wav2Vec2PhonemeCTCTokenizer",
"unk_token": "[UNK]",
"word_delimiter_token": null
}
|