Instructions to use TopSlayer/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TopSlayer/model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="TopSlayer/model")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("TopSlayer/model") model = AutoModelForCTC.from_pretrained("TopSlayer/model") - Notebooks
- Google Colab
- Kaggle
File size: 1,162 Bytes
4b127a1 | 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 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 | {
"(": 1,
")": 2,
"/": 3,
"0": 4,
"1": 5,
"2": 6,
"3": 7,
"4": 8,
"5": 9,
"6": 10,
"7": 11,
"8": 12,
"9": 13,
"[PAD]": 94,
"[UNK]": 93,
"a": 14,
"b": 15,
"c": 16,
"e": 17,
"f": 18,
"g": 19,
"h": 20,
"i": 21,
"k": 22,
"l": 23,
"m": 24,
"n": 25,
"o": 26,
"p": 27,
"r": 28,
"s": 29,
"t": 30,
"u": 31,
"v": 32,
"w": 33,
"y": 34,
"|": 0,
"ค": 35,
"บ": 36,
"ย": 37,
"ร": 38,
"ั": 39,
"ກ": 40,
"ຂ": 41,
"ຄ": 42,
"ງ": 43,
"ຈ": 44,
"ຊ": 45,
"ຍ": 46,
"ດ": 47,
"ຕ": 48,
"ຖ": 49,
"ທ": 50,
"ນ": 51,
"ບ": 52,
"ປ": 53,
"ຜ": 54,
"ຝ": 55,
"ພ": 56,
"ຟ": 57,
"ມ": 58,
"ຢ": 59,
"ຣ": 60,
"ລ": 61,
"ວ": 62,
"ສ": 63,
"ຫ": 64,
"ອ": 65,
"ຮ": 66,
"ະ": 67,
"ັ": 68,
"າ": 69,
"ຳ": 70,
"ິ": 71,
"ີ": 72,
"ຶ": 73,
"ື": 74,
"ຸ": 75,
"ູ": 76,
"ົ": 77,
"ຼ": 78,
"ຽ": 79,
"ເ": 80,
"ແ": 81,
"ໂ": 82,
"ໃ": 83,
"ໄ": 84,
"ໆ": 85,
"່": 86,
"້": 87,
"໊": 88,
"໋": 89,
"ໍ": 90,
"ໜ": 91,
"ໝ": 92
}
|