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 special_tokens_map.json from haohaa/wav2vec2-large-mms-1b-shan: direct link, hf CLI and curl.
- Browser
- Download file 102 Bytes
-
https://huggingface.co/haohaa/wav2vec2-large-mms-1b-shan/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://haohaa/wav2vec2-large-mms-1b-shan/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/haohaa/wav2vec2-large-mms-1b-shan/resolve/main/special_tokens_map.json
102 Bytes
| { | |
| "bos_token": "<s>", | |
| "eos_token": "</s>", | |
| "pad_token": "[PAD]", | |
| "unk_token": "[UNK]" | |
| } | |