Automatic Speech Recognition
Transformers
PyTorch
Swedish
wav2vec2
mozilla-foundation/common_voice_9_0
Generated from Trainer
Eval Results (legacy)
Instructions to use marinone94/xls-r-300m-sv-robust with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marinone94/xls-r-300m-sv-robust with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="marinone94/xls-r-300m-sv-robust")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("marinone94/xls-r-300m-sv-robust") model = AutoModelForCTC.from_pretrained("marinone94/xls-r-300m-sv-robust") - Notebooks
- Google Colab
- Kaggle
| {"!": 1, ",": 2, "-": 3, ".": 4, ":": 5, ";": 6, "?": 7, "а": 8, "б": 9, "в": 10, "г": 11, "д": 12, "е": 13, "ж": 14, "з": 15, "и": 16, "к": 17, "л": 18, "м": 19, "н": 20, "о": 21, "п": 22, "р": 23, "с": 24, "т": 25, "у": 26, "ф": 27, "х": 28, "ц": 29, "ч": 30, "ш": 31, "ы": 32, "ь": 33, "џ": 34, "қ": 35, "ҟ": 36, "ҩ": 37, "ҭ": 38, "ҳ": 39, "ҵ": 40, "ҷ": 41, "ҽ": 42, "ҿ": 43, "ә": 44, "ӡ": 45, "ӷ": 46, "ԥ": 47, "–": 48, "|": 0, "[UNK]": 49, "[PAD]": 50} |