Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Instructions to use UrukHan/wav2vec2-russian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UrukHan/wav2vec2-russian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="UrukHan/wav2vec2-russian")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("UrukHan/wav2vec2-russian") model = AutoModelForCTC.from_pretrained("UrukHan/wav2vec2-russian", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Alikhan Urumov commited on
Commit ·
d715f90
1
Parent(s): 40abed1
add tokenizer
Browse files- special_tokens_map.json +1 -0
- tokenizer_config.json +1 -0
- vocab.json +1 -0
special_tokens_map.json
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{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "[UNK]", "pad_token": "[PAD]"}
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tokenizer_config.json
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{"unk_token": "[UNK]", "bos_token": "<s>", "eos_token": "</s>", "pad_token": "[PAD]", "do_lower_case": false, "word_delimiter_token": "|", "replace_word_delimiter_char": " ", "tokenizer_class": "Wav2Vec2CTCTokenizer"}
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vocab.json
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{"т": 0, "и": 1, "у": 2, "р": 3, "ь": 4, "п": 5, "ф": 6, "с": 7, "й": 8, "л": 9, "е": 10, "м": 11, "а": 12, "щ": 13, "б": 14, "ж": 15, "ъ": 16, "х": 17, "я": 18, "э": 19, "о": 21, "г": 22, "д": 23, "в": 24, "ё": 25, "ш": 26, "к": 27, "ц": 28, "ю": 29, "з": 30, "н": 31, "ы": 32, "ч": 33, "|": 20, "[UNK]": 34, "[PAD]": 35}
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