Automatic Speech Recognition
Transformers
PyTorch
JAX
Georgian
wav2vec2
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Instructions to use MehdiHosseiniMoghadam/wav2vec2-large-xlsr-53-Georgian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MehdiHosseiniMoghadam/wav2vec2-large-xlsr-53-Georgian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MehdiHosseiniMoghadam/wav2vec2-large-xlsr-53-Georgian")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("MehdiHosseiniMoghadam/wav2vec2-large-xlsr-53-Georgian") model = AutoModelForCTC.from_pretrained("MehdiHosseiniMoghadam/wav2vec2-large-xlsr-53-Georgian", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from MehdiHosseiniMoghadam/wav2vec2-large-xlsr-53-Georgian: direct link, hf CLI and curl.
- Browser
- Download file 515 Bytes
-
https://huggingface.co/MehdiHosseiniMoghadam/wav2vec2-large-xlsr-53-Georgian/resolve/main/vocab.json
- Command line
-
hf download hf://MehdiHosseiniMoghadam/wav2vec2-large-xlsr-53-Georgian/vocab.json
-
curl -L -o vocab.json https://huggingface.co/MehdiHosseiniMoghadam/wav2vec2-large-xlsr-53-Georgian/resolve/main/vocab.json
515 Bytes
| {"\u201e": 0, "\u10d7": 1, "\u10e7": 2, "\u10ed": 3, "\u10d5": 4, "\u10dd": 5, "\u10d9": 6, "\u10d1": 7, "\u10de": 8, "\u10e6": 9, "\u10e5": 10, "\u10d0": 11, "\u10e2": 12, "\u10d6": 13, "\u10ec": 14, "\u10e4": 15, "\u10e0": 16, "\u10da": 17, "\u10ef": 18, "\u10ea": 19, "\u10e1": 20, "\u10e3": 21, "\u10f0": 22, "\u10d2": 23, "\u10dc": 24, "\u10eb": 25, "\u10e9": 26, "\u2013": 27, "\u10ee": 28, "\u10d8": 29, "\u10db": 30, "\u10d3": 31, "\u10e8": 32, "\u10d4": 33, "\u10df": 34, "|": 35, "[UNK]": 36, "[PAD]": 37} |