Automatic Speech Recognition
Transformers
PyTorch
JAX
Safetensors
Kyrgyz
wav2vec2
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Instructions to use aismlv/wav2vec2-large-xlsr-kyrgyz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aismlv/wav2vec2-large-xlsr-kyrgyz with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="aismlv/wav2vec2-large-xlsr-kyrgyz")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("aismlv/wav2vec2-large-xlsr-kyrgyz") model = AutoModelForCTC.from_pretrained("aismlv/wav2vec2-large-xlsr-kyrgyz", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| {"и": 0, "й": 1, "у": 2, "ь": 3, "ӊ": 4, "ы": 5, "п": 6, "щ": 7, "ч": 8, "е": 9, "р": 10, "з": 11, "ү": 12, "х": 13, "г": 14, "б": 15, "я": 16, "с": 17, "ш": 18, "ө": 19, "т": 20, "м": 21, "ц": 22, "ң": 23, "ю": 24, "ж": 25, "в": 26, "а": 28, "д": 29, "ф": 30, "э": 31, "ъ": 32, "л": 33, "ё": 34, "н": 35, "к": 36, "о": 37, "|": 27, "[UNK]": 38, "[PAD]": 39} |