inclusionAI/Ming-3.0-asr-tiny开源了新模型

inclusionAI/Ming-3.0-asr-tiny · Hugging Face Hugging Face (https://huggingface.co/) Models (https://huggingface.co/models) Datasets (https://huggingface.co/datasets) Spaces (https://huggingface.co/spaces) Buckets new (https://huggingface.co/storage) Docs (https://huggingface.co/docs) Enterprise (https://huggingface.co/enterprise) Pricing (https://huggingface.co/pricing) Website Tasks (https://huggingface.co/tasks) HuggingChat (https://huggingface.co/chat) Collections (https://huggingface.co/collections) Languages (https://huggingface.co/languages) Organizations (https://huggingface.co/organizations) Community Blog (https://huggingface.co/blog) Posts (https://huggingface.co/posts) Daily Papers (https://huggingface.co/papers) Hardware (https://huggingface.co/hardware) Learn (https://huggingface.co/learn) Discord (https://huggingface.co/join/discord) Forum (https://discuss.huggingface.co/) GitHub (https://github.com/huggingface) Solutions Team & Enterprise (https://huggingface.co/enterprise) Hugging Face PRO (https://huggingface.co/pro) Enterprise Support (https://huggingface.co/support) Inference Providers (https://huggingface.co/inference/models) Inference Endpoints (https://huggingface.co/inference-endpoints) Storage Buckets (https://huggingface.co/storage) Log In (https://huggingface.co/login) Sign Up (https://huggingface.co/join) (https://huggingface.co/inclusionAI) inclusionAI (https://huggingface.co/inclusionAI) / Ming-3.0-asr-tiny (https://huggingface.co/inclusionAI/Ming-3.0-asr-tiny) Like 24 Follow inclusionAI 3.3k Automatic Speech Recognition (https://huggingface.co/models?pipeline_tag=automatic-speech-recognition) Transformers (https://huggingface.co/models?library=transformers) Safetensors (https://huggingface.co/models?library=safetensors) Chinese (https://huggingface.co/models?language=zh) English (https://huggingface.co/models?language=en) ming_v3_asr (https://huggingface.co/models?other=ming_v3_asr) text-generation (https://huggingface.co/models?other=text-generation) audio (https://huggingface.co/models?other=audio) speech-recognition (https://huggingface.co/models?other=speech-recognition) contextual-asr (https://huggingface.co/models?other=contextual-asr) custom_code (https://huggingface.co/models?other=custom_code) License: mit Model card (https://huggingface.co/inclusionAI/Ming-3.0-asr-tiny) Files Files and versions xet (https://huggingface.co/inclusionAI/Ming-3.0-asr-tiny/tree/main) Community 2 (https://huggingface.co/inclusionAI/Ming-3.0-asr-tiny/discussions) Deploy Copy to bucket new Use this model 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 (https://huggingface.co/inclusionAI/Ming-3.0-asr-tiny?library=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 (https://huggingface.co/inclusionAI/Ming-3.0-asr-tiny/colab) Kaggle (https://huggingface.co/inclusionAI/Ming-3.0-asr-tiny/kaggle) Capabilities (https://huggingface.co/inclusionAI/Ming-3.0-asr-tiny#capabilities) Architecture (https://huggingface.co/inclusionAI/Ming-3.0-asr-tiny#architecture) Quick Start (https://huggingface.co/inclusionAI/Ming-3.0-asr-tiny#quick-start) Download and install (https://huggingface.co/inclusionAI/Ming-3.0-asr-tiny#download-and-install) Run the PyTorch / Transformers example (https://huggingface.co/inclusionAI/Ming-3.0-asr-tiny#run-the-pytorch--transformers-example) PyTorch / Transformers Pytho

InclusionAI inclusionAI/Ming-3.0-asr-tiny inclusionAI/Ming-3.0-asr-tiny https://huggingface.co/inclusionAI/Ming-3.0-asr-tiny