Automatic Speech Recognition
Transformers
Safetensors
Chinese
English
ming_v3_asr
text-generation
audio
speech-recognition
contextual-asr
custom_code
Instructions to use ArchiveStudio/Ming-3.0-asr-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArchiveStudio/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="ArchiveStudio/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("ArchiveStudio/Ming-3.0-asr-tiny", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from ArchiveStudio/Ming-3.0-asr-tiny: direct link, hf CLI and curl.
- Browser
- Download file 77 Bytes
-
https://huggingface.co/ArchiveStudio/Ming-3.0-asr-tiny/resolve/main/generation_config.json
- Command line
-
hf download hf://ArchiveStudio/Ming-3.0-asr-tiny/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/ArchiveStudio/Ming-3.0-asr-tiny/resolve/main/generation_config.json
77 Bytes
| { | |
| "eos_token_id": 156892, | |
| "pad_token_id": 156892, | |
| "do_sample": false | |
| } | |