Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

konic-labs
/
LFM2.5-multimodal-encoder-230M

Feature Extraction
Transformers
Safetensors
lfm2
fill-mask
encoder-only
multimodal
image-text-retrieval
image-text-matching
siglip2
lfm2.5
gptq
custom_code
compressed-tensors
Model card Files Files and versions
xet
Community

Instructions to use konic-labs/LFM2.5-multimodal-encoder-230M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use konic-labs/LFM2.5-multimodal-encoder-230M with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="konic-labs/LFM2.5-multimodal-encoder-230M", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("konic-labs/LFM2.5-multimodal-encoder-230M", trust_remote_code=True)
    model = AutoModelForMaskedLM.from_pretrained("konic-labs/LFM2.5-multimodal-encoder-230M", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
LFM2.5-multimodal-encoder-230M / evaluation
53.8 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
ege-konic's picture
ege-konic
Release clean SigLIP2 multimodal GPTQ encoder
ff3d404 verified 20 days ago
  • ablations.md
    1.34 kB
    Release clean SigLIP2 multimodal GPTQ encoder 20 days ago
  • cc3m_external_metrics.json
    15.6 kB
    Release clean SigLIP2 multimodal GPTQ encoder 20 days ago
  • deep_evaluation_summary.md
    2.79 kB
    Release clean SigLIP2 multimodal GPTQ encoder 20 days ago
  • matching.md
    836 Bytes
    Release clean SigLIP2 multimodal GPTQ encoder 20 days ago
  • monet_bf16_reference_metrics.json
    15.5 kB
    Release clean SigLIP2 multimodal GPTQ encoder 20 days ago
  • monet_gptq_int4_metrics.json
    15.5 kB
    Release clean SigLIP2 multimodal GPTQ encoder 20 days ago
  • retrieval.md
    1.05 kB
    Release clean SigLIP2 multimodal GPTQ encoder 20 days ago
  • robustness.md
    1.19 kB
    Release clean SigLIP2 multimodal GPTQ encoder 20 days ago