Feature Extraction
Transformers
Safetensors
muse_glimmer
metaencoder
multimodal-embedding
image-text-retrieval
video-retrieval
document-retrieval
Instructions to use facebook/meta-encoder-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/meta-encoder-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="facebook/meta-encoder-v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("facebook/meta-encoder-v1") model = AutoModel.from_pretrained("facebook/meta-encoder-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
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