facebook/meta-encoder开源了新模型

Meta facebook/meta-encoder facebook/meta-encoder https://huggingface.co/facebook/meta-encoder

facebook/meta-encoder · 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/facebook) facebook (https://huggingface.co/facebook) / meta-encoder (https://huggingface.co/facebook/meta-encoder) Like 14 Follow AI at Meta 15.2k Feature Extraction (https://huggingface.co/models?pipeline_tag=feature-extraction) Transformers (https://huggingface.co/models?library=transformers) Safetensors (https://huggingface.co/models?library=safetensors) muse_glimmer (https://huggingface.co/models?other=muse_glimmer) image-text-to-text (https://huggingface.co/models?other=image-text-to-text) metaencoder (https://huggingface.co/models?other=metaencoder) multimodal representation (https://huggingface.co/models?other=multimodal+representation) similarity (https://huggingface.co/models?other=similarity) image-text-retrieval (https://huggingface.co/models?other=image-text-retrieval) classification (https://huggingface.co/models?other=classification) decision making (https://huggingface.co/models?other=decision+making) License: apache-2.0 Model card (https://huggingface.co/facebook/meta-encoder) Files Files and versions xet (https://huggingface.co/facebook/meta-encoder/tree/main) Community (https://huggingface.co/facebook/meta-encoder/discussions) Deploy Copy to bucket new Use this model Instructions to use facebook/meta-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started. Libraries Transformers (https://huggingface.co/facebook/meta-encoder?library=transformers) How to use facebook/meta-encoder with Transformers: # Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="facebook/meta-encoder") # pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("facebook/meta-encoder") model = AutoModelForMultimodalLM.from_pretrained("facebook/meta-encoder", device_map="auto") Notebooks Google Colab (https://huggingface.co/facebook/meta-encoder/colab) Kaggle (https://huggingface.co/facebook/meta-encoder/kaggle) You need to agree to share your contact information to access this model This repository is publicly accessible, but you have to accept the conditions to access its files and content. Log in (https://huggingface.co/login?next=/facebook/meta-encoder) or Sign Up (https://huggingface.co/join?next=/facebook/meta-encoder) to review the conditions and access this model content. MetaEncoder-30B (https://huggingface.co/facebook/meta-encoder#metaencoder-30b) Results (https://huggingface.co/facebook/meta-encoder#