Automatic Speech Recognition
Transformers
Safetensors
Chinese
English
ming_v3_asr
text-generation
audio
speech-recognition
contextual-asr
custom_code
Instructions to use inclusionAI/Ming-3.0-asr-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use inclusionAI/Ming-3.0-asr-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="inclusionAI/Ming-3.0-asr-tiny", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("inclusionAI/Ming-3.0-asr-tiny", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from inclusionAI/Ming-3.0-asr-tiny: direct link, hf CLI and curl.
- Browser
- Download file 12.2 MB
-
https://huggingface.co/inclusionAI/Ming-3.0-asr-tiny/resolve/main/tokenizer.json
- Command line
-
hf download hf://inclusionAI/Ming-3.0-asr-tiny/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/inclusionAI/Ming-3.0-asr-tiny/resolve/main/tokenizer.json
12.2 MB
- Xet hash:
- 6e097afc6fa82484259c7ca66534d1c1d77eb8f63f210681274e73ed026a1d60
- Size of remote file:
- 12.2 MB
- SHA256:
- e4f5fe09e7484071da5fa93cfb82f7db15c0ebf9b6ee9821599c5a997563ee96
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