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LiquidAI
/
LFM2.5-Encoder-350M-Policy-Linter

Token Classification
Transformers
Safetensors
lfm2
feature-extraction
liquid
lfm2.5
bidirectional
masked-lm
encoder
custom_code
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use LiquidAI/LFM2.5-Encoder-350M-Policy-Linter with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="LiquidAI/LFM2.5-Encoder-350M-Policy-Linter", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("LiquidAI/LFM2.5-Encoder-350M-Policy-Linter", trust_remote_code=True)
    model = AutoModel.from_pretrained("LiquidAI/LFM2.5-Encoder-350M-Policy-Linter", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
LFM2.5-Encoder-350M-Policy-Linter
1.42 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 3 commits
iamleonie's picture
iamleonie
Update model card and license
5069ed0 verified 15 days ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • LICENSE
    10.6 kB
    Update model card and license 15 days ago
  • README.md
    3.98 kB
    Update model card and license 15 days ago
  • config.json
    1.5 kB
    Upload folder using huggingface_hub about 1 month ago
  • model.safetensors
    1.42 GB
    xet
    Upload folder using huggingface_hub about 1 month ago
  • modeling_lfm2_bidir_theirs.py
    8.92 kB
    Upload folder using huggingface_hub about 1 month ago
  • tokenizer.json
    4.73 MB
    Upload folder using huggingface_hub about 1 month ago
  • tokenizer_config.json
    306 Bytes
    Upload folder using huggingface_hub about 1 month ago
  • train_bizlint_v02.py
    10.3 kB
    Upload folder using huggingface_hub about 1 month ago