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SDM-TIB
/
MetaMine

PEFT
Safetensors
English
lora
metadata-extraction
dcat
Knowledge-Graph
Scientific-metadata
Dataset-benchmarking
Multi-path-LinkPrediction
Chain-of-Thoughts
Model card Files Files and versions
xet
Community

Instructions to use SDM-TIB/MetaMine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use SDM-TIB/MetaMine with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-3B-Instruct")
    model = PeftModel.from_pretrained(base_model, "SDM-TIB/MetaMine")
  • Notebooks
  • Google Colab
  • Kaggle

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  • .gitattributes
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    Adding model with adapter config and tokenizer about 1 month ago
  • README.md
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  • adapter_config.json
    735 Bytes
    Adding model with adapter config and tokenizer about 1 month ago
  • adapter_model.safetensors
    97.3 MB
    xet
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  • special_tokens_map.json
    296 Bytes
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  • tokenizer.json
    17.2 MB
    xet
    Adding model with adapter config and tokenizer about 1 month ago
  • tokenizer_config.json
    54.5 kB
    Adding model with adapter config and tokenizer about 1 month ago