Instructions to use haohaa/wav2vec2-large-mms-1b-shan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use haohaa/wav2vec2-large-mms-1b-shan with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="haohaa/wav2vec2-large-mms-1b-shan")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("haohaa/wav2vec2-large-mms-1b-shan") model = AutoModelForCTC.from_pretrained("haohaa/wav2vec2-large-mms-1b-shan", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from haohaa/wav2vec2-large-mms-1b-shan: direct link, hf CLI and curl.
- Browser
- Download file 585 Bytes
-
https://huggingface.co/haohaa/wav2vec2-large-mms-1b-shan/resolve/main/vocab.json
- Command line
-
hf download hf://haohaa/wav2vec2-large-mms-1b-shan/vocab.json
-
curl -L -o vocab.json https://huggingface.co/haohaa/wav2vec2-large-mms-1b-shan/resolve/main/vocab.json
585 Bytes
| { | |
| "[PAD]": 41, | |
| "[UNK]": 40, | |
| "|": 0, | |
| "င": 1, | |
| "တ": 2, | |
| "ထ": 3, | |
| "ပ": 4, | |
| "မ": 5, | |
| "ယ": 6, | |
| "ရ": 7, | |
| "လ": 8, | |
| "ဝ": 9, | |
| "သ": 10, | |
| "ဢ": 11, | |
| "ိ": 12, | |
| "ီ": 13, | |
| "ု": 14, | |
| "ူ": 15, | |
| "ေ": 16, | |
| "ဵ": 17, | |
| "း": 18, | |
| "်": 19, | |
| "ျ": 20, | |
| "ြ": 21, | |
| "ွ": 22, | |
| "ၢ": 23, | |
| "ၵ": 24, | |
| "ၶ": 25, | |
| "ၸ": 26, | |
| "ၺ": 27, | |
| "ၼ": 28, | |
| "ၽ": 29, | |
| "ၾ": 30, | |
| "ႁ": 31, | |
| "ႂ": 32, | |
| "ႃ": 33, | |
| "ႄ": 34, | |
| "ႅ": 35, | |
| "ႆ": 36, | |
| "ႇ": 37, | |
| "ႈ": 38, | |
| "ႉ": 39 | |
| } | |