Instructions to use Or4kool/wolof_asr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Or4kool/wolof_asr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Or4kool/wolof_asr")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Or4kool/wolof_asr") model = AutoModelForCTC.from_pretrained("Or4kool/wolof_asr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload processor
Browse files- added_tokens.json +4 -0
- processor_config.json +12 -0
- tokenizer_config.json +56 -0
- vocab.json +77 -0
added_tokens.json
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{
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"</s>": 76,
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"<s>": 75
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}
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processor_config.json
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{
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"feature_extractor": {
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"do_normalize": true,
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"feature_extractor_type": "Wav2Vec2FeatureExtractor",
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"feature_size": 1,
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"padding_side": "right",
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"padding_value": 0,
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"return_attention_mask": true,
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"sampling_rate": 16000
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},
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"processor_class": "Wav2Vec2Processor"
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}
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"42": {
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"content": "|",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"73": {
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"content": "[UNK]",
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"lstrip": true,
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"normalized": false,
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"rstrip": true,
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"single_word": false,
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"special": false
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},
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"74": {
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"content": "[PAD]",
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"lstrip": true,
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"normalized": false,
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"rstrip": true,
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"single_word": false,
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"special": false
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},
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"75": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"76": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"backend": "custom",
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"bos_token": "<s>",
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"do_lower_case": false,
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"eos_token": "</s>",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "[PAD]",
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"processor_class": "Wav2Vec2Processor",
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"replace_word_delimiter_char": " ",
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"target_lang": null,
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"tokenizer_class": "Wav2Vec2CTCTokenizer",
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"unk_token": "[UNK]",
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"word_delimiter_token": "|"
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}
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vocab.json
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{
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"$": 0,
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"&": 1,
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"+": 2,
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"/": 3,
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"0": 4,
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"1": 5,
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"2": 6,
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"3": 7,
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"4": 8,
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"5": 9,
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"6": 10,
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"7": 11,
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"8": 12,
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"9": 13,
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"<": 14,
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">": 15,
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"[PAD]": 74,
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"[UNK]": 73,
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"a": 16,
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"b": 17,
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"c": 18,
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"d": 19,
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"e": 20,
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"f": 21,
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"g": 22,
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"h": 23,
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"i": 24,
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"j": 25,
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"k": 26,
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"l": 27,
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"m": 28,
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"n": 29,
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"o": 30,
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"p": 31,
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"q": 32,
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"r": 33,
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"s": 34,
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"t": 35,
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"u": 36,
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"v": 37,
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"w": 38,
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"x": 39,
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"y": 40,
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"z": 41,
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"|": 42,
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"«": 43,
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"°": 44,
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"µ": 45,
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"»": 46,
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"à": 47,
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"á": 48,
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"â": 49,
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"ã": 50,
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"ç": 51,
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"è": 52,
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"é": 53,
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"ê": 54,
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"ë": 55,
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"í": 56,
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"î": 57,
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"ï": 58,
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"ñ": 59,
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"ó": 60,
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"ô": 61,
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"õ": 62,
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"ö": 63,
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"ù": 64,
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"û": 65,
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"ü": 66,
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"ŋ": 67,
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"œ": 68,
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"—": 69,
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"‘": 70,
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"’": 71,
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"”": 72
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}
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