Automatic Speech Recognition
Transformers
Safetensors
Chinese
English
Yue Chinese
qwen2
text-generation
text-generation-inference
Instructions to use fengjay01/MiMo-V2.5-ASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fengjay01/MiMo-V2.5-ASR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="fengjay01/MiMo-V2.5-ASR")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("fengjay01/MiMo-V2.5-ASR") model = AutoModelForCausalLM.from_pretrained("fengjay01/MiMo-V2.5-ASR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from fengjay01/MiMo-V2.5-ASR: direct link, hf CLI and curl.
- Browser
- Download file 77 Bytes
-
https://huggingface.co/fengjay01/MiMo-V2.5-ASR/resolve/main/generation_config.json
- Command line
-
hf download hf://fengjay01/MiMo-V2.5-ASR/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/fengjay01/MiMo-V2.5-ASR/resolve/main/generation_config.json
77 Bytes
| { | |
| "do_sample": true, | |
| "temperature": 0.6, | |
| "top_k": -1, | |
| "top_p": 0.95 | |
| } |