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
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

Simih
/
results

PEFT
Safetensors
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use Simih/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use Simih/results with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForTokenClassification
    
    base_model = AutoModelForTokenClassification.from_pretrained("meta-llama/Llama-3.2-1B")
    model = PeftModel.from_pretrained(base_model, "Simih/results")
  • Notebooks
  • Google Colab
  • Kaggle
results
24.1 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Simih's picture
Simih
ner-llama-model
4665b8a verified 10 months ago
  • .gitattributes
    1.57 kB
    ner-llama-model 10 months ago
  • README.md
    2.46 kB
    ner-llama-model 10 months ago
  • adapter_config.json
    809 Bytes
    ner-llama-model 10 months ago
  • adapter_model.safetensors
    6.85 MB
    xet
    ner-llama-model 10 months ago
  • special_tokens_map.json
    335 Bytes
    ner-llama-model 10 months ago
  • tokenizer.json
    17.2 MB
    xet
    ner-llama-model 10 months ago
  • tokenizer_config.json
    50.6 kB
    ner-llama-model 10 months ago
  • training_args.bin
    5.3 kB
    xet
    ner-llama-model 10 months ago