google/DiarizationLM-Gemma-4-E4B-v1开源了新模型

Google google/DiarizationLM-Gemma-4-E4B-v1 google/DiarizationLM-Gemma-4-E4B-v1 https://huggingface.co/google/DiarizationLM-Gemma-4-E4B-v1

google/DiarizationLM-Gemma-4-E4B-v1 · 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/google) google (https://huggingface.co/google) / DiarizationLM-Gemma-4-E4B-v1 (https://huggingface.co/google/DiarizationLM-Gemma-4-E4B-v1) Like 33 Follow Google 69.2k Image-Text-to-Text (https://huggingface.co/models?pipeline_tag=image-text-to-text) Transformers (https://huggingface.co/models?library=transformers) Safetensors (https://huggingface.co/models?library=safetensors) GGUF (https://huggingface.co/models?library=gguf) gemma4 (https://huggingface.co/models?other=gemma4) speech (https://huggingface.co/models?other=speech) speaker-diarization (https://huggingface.co/models?other=speaker-diarization) diarizationlm (https://huggingface.co/models?other=diarizationlm) gemma (https://huggingface.co/models?other=gemma) gemma-4 (https://huggingface.co/models?other=gemma-4) long-context (https://huggingface.co/models?other=long-context) multi-speaker (https://huggingface.co/models?other=multi-speaker) conversational (https://huggingface.co/models?other=conversational) arxiv: 2401.03506 License: apache-2.0 Model card (https://huggingface.co/google/DiarizationLM-Gemma-4-E4B-v1) Files Files and versions xet (https://huggingface.co/google/DiarizationLM-Gemma-4-E4B-v1/tree/main) Community 1 (https://huggingface.co/google/DiarizationLM-Gemma-4-E4B-v1/discussions) Deploy Copy to bucket new Use this model Instructions to use google/DiarizationLM-Gemma-4-E4B-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started. Libraries Transformers (https://huggingface.co/google/DiarizationLM-Gemma-4-E4B-v1?library=transformers) How to use google/DiarizationLM-Gemma-4-E4B-v1 with Transformers: # Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="google/DiarizationLM-Gemma-4-E4B-v1") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages) # pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("google/DiarizationLM-Gemma-4-E4B-v1") model = AutoModelForMultimodalLM.from_pretrained("google/DiarizationLM-Gemma-4-E4B-v1", device_map="auto") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type":