Instructions to use adkta/nep_eng_code-mixed_translit_lm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adkta/nep_eng_code-mixed_translit_lm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="adkta/nep_eng_code-mixed_translit_lm")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("adkta/nep_eng_code-mixed_translit_lm") model = AutoModelForCTC.from_pretrained("adkta/nep_eng_code-mixed_translit_lm") - Notebooks
- Google Colab
- Kaggle
Upload processor
Browse files- processor_config.json +12 -0
- tokenizer_config.json +59 -0
- vocab.json +147 -0
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": false,
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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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"0": {
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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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"1": {
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"content": "<s>",
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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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"2": {
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"content": "</s>",
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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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"3": {
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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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"79": {
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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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},
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"additional_special_tokens": null,
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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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"extra_special_tokens": [],
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"is_local": true,
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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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"'": 130,
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"+": 131,
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"-": 64,
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".": 13,
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"0": 5,
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"1": 76,
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"2": 8,
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"5": 75,
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"7": 110,
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"9": 86,
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"</s>": 2,
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"<pad>": 0,
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"<s>": 1,
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"<unk>": 3,
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"A": 109,
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"B": 37,
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"C": 20,
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"D": 89,
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"E": 68,
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"F": 50,
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"G": 46,
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"H": 139,
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"I": 83,
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"J": 144,
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"K": 12,
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"L": 33,
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"M": 15,
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"N": 11,
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"O": 128,
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"P": 35,
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"Q": 32,
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"R": 81,
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"S": 141,
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"T": 115,
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"U": 61,
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"V": 65,
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"W": 48,
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"X": 22,
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"Y": 21,
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"Z": 88,
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"a": 106,
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"b": 58,
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"c": 91,
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"d": 4,
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"e": 113,
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"f": 142,
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"g": 36,
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"h": 104,
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"i": 143,
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"j": 111,
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"k": 30,
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"l": 126,
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"m": 52,
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"n": 42,
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"o": 9,
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"t": 121,
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"u": 67,
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"v": 71,
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"w": 98,
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"x": 59,
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"y": 77,
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"z": 63,
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"|": 79,
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"ँ": 82,
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"ं": 6,
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"क": 105,
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"ग": 23,
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"च": 19,
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"छ": 72,
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"झ": 66,
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"ञ": 136,
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"ट": 129,
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"ठ": 51,
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"ड": 125,
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"ढ": 84,
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"ण": 28,
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"त": 103,
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"थ": 134,
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"द": 133,
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"ध": 124,
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"न": 96,
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"प": 97,
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"फ": 108,
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"ब": 49,
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"भ": 101,
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"म": 31,
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"य": 14,
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"र": 39,
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"ऱ": 132,
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"ल": 87,
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"व": 62,
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"श": 123,
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"ष": 122,
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"स": 135,
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"ह": 138,
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"़": 24,
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"ा": 43,
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"ि": 27,
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"ी": 100,
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"ु": 60,
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"ृ": 85,
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"े": 80,
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"ै": 38,
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"ॉ": 107,
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"ॊ": 47,
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"ो": 78,
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"ौ": 114,
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"्": 112,
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"ॐ": 40,
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"ज़": 127,
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"२": 26,
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"४": 73,
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"५": 140,
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"८": 57,
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"९": 90,
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"ॲ": 92,
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"": 93,
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"": 18,
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"": 45
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}
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