Text-to-Speech
Transformers
Safetensors
Ewe
tts
ewe
ewegbe
gbe
low-resource
african-languages
spark-tts
Instructions to use analist/spark-tts-ewe-cotia with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use analist/spark-tts-ewe-cotia with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="analist/spark-tts-ewe-cotia")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("analist/spark-tts-ewe-cotia", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,326 Bytes
0a16f55 | 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 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 | {
"lookalikes": {
"ε": "ɛ",
"Ε": "Ɛ",
"γ": "ɣ",
"Γ": "Ɣ",
"ө": "ɔ",
"ѳ": "ɔ",
"Ɵ": "Ɔ",
"Ʒ": "Ɛ",
"ʃ": "ƒ",
"ϕ": "ƒ",
"υ": "ʋ",
"ɰ": "ʋ",
"ɲ": "ŋ",
"ɗ": "ɖ",
"đ": "ɖ",
"Ð": "Ɖ"
},
"punct_map": {
"‘": "'",
"’": "'",
"‚": "'",
"‛": "'",
"“": "\"",
"”": "\"",
"„": "\"",
"–": "-",
"—": "-",
"−": "-",
"‐": "-",
"‑": "-",
"…": "...",
" ": " ",
"": "",
"": "",
"": "",
"": "",
"": "",
"`": "'",
"ʼ": "'"
},
"lowercase": false,
"digit_policy_train": "drop",
"strip_verse_numbers": true,
"units": {
"0": "zero",
"1": "ɖeka",
"2": "eve",
"3": "etɔ̃",
"4": "ene",
"5": "atɔ̃",
"6": "ade",
"7": "adre",
"8": "enyi",
"9": "asiekɛ"
},
"teens": {
"10": "ewo",
"11": "wuiɖekɛ",
"12": "wuieve",
"13": "wuietɔ̃",
"14": "wuiene",
"15": "wuiatɔ̃",
"16": "wuiade",
"17": "wuiadre",
"18": "wuienyi",
"19": "wuiasiekɛ"
},
"tens": {
"20": "blaeve",
"30": "blaetɔ̃",
"40": "blaene",
"50": "blaatɔ̃",
"60": "blaade",
"70": "blaadre",
"80": "blaenyi",
"90": "blaasiekɛ"
}
} |