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

LiquidAI
/
LFM2.5-Encoder-350M-Prompt-Router

Text Classification
Transformers
Safetensors
lfm2
feature-extraction
liquid
lfm2.5
bidirectional
masked-lm
encoder
custom_code
Model card Files Files and versions
xet
Community
2

Instructions to use LiquidAI/LFM2.5-Encoder-350M-Prompt-Router with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use LiquidAI/LFM2.5-Encoder-350M-Prompt-Router with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="LiquidAI/LFM2.5-Encoder-350M-Prompt-Router", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("LiquidAI/LFM2.5-Encoder-350M-Prompt-Router", trust_remote_code=True)
    model = AutoModel.from_pretrained("LiquidAI/LFM2.5-Encoder-350M-Prompt-Router", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
LFM2.5-Encoder-350M-Prompt-Router
Ctrl+K
Ctrl+K
  • 2 contributors
History: 1 commit
iamleonie's picture
iamleonie
fernandofernandes's picture
fernandofernandes
Initial public commit
35ca4a0 about 7 hours ago
  • .gitattributes
    1.52 kB
    Initial public commit about 7 hours ago
  • LICENSE
    10.6 kB
    Initial public commit about 7 hours ago
  • README.md
    2.87 kB
    Initial public commit about 7 hours ago
  • config.json
    1.5 kB
    Initial public commit about 7 hours ago
  • model.safetensors
    1.42 GB
    xet
    Initial public commit about 7 hours ago
  • modeling_lfm2_bidirectional.py
    11 kB
    Initial public commit about 7 hours ago
  • tokenizer.json
    4.73 MB
    Initial public commit about 7 hours ago
  • tokenizer_config.json
    306 Bytes
    Initial public commit about 7 hours ago