Feature Extraction
Transformers
Safetensors
muse_glimmer
image-text-to-text
metaencoder
multimodal representation
similarity
image-text-retrieval
classification
decision making
Instructions to use facebook/meta-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- 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
- Kaggle
Welcome to the community
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