Automatic Speech Recognition
Transformers
Safetensors
Chinese
English
Yue Chinese
qwen2
text-generation
text-generation-inference
Instructions to use XiaomiMiMo/MiMo-V2.5-ASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use XiaomiMiMo/MiMo-V2.5-ASR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="XiaomiMiMo/MiMo-V2.5-ASR")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("XiaomiMiMo/MiMo-V2.5-ASR") model = AutoModelForCausalLM.from_pretrained("XiaomiMiMo/MiMo-V2.5-ASR") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb65b2377234a5b6c318a8755d599a88fd041f37c6c96cfd17292fb684dde528
- Size of remote file:
- 4.07 GB
- SHA256:
- bf197fef74fa019c2567e6b4d054a0335fd15234ddd7c9b891a303a7102e031b
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