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j0no12
/
NeroT-86M-Exp

Transformers
Safetensors
MLX
English
multilingual
chat-titles
title-generation
encoder-decoder
small-lm
Model card Files Files and versions
xet
Community

Instructions to use j0no12/NeroT-86M-Exp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use j0no12/NeroT-86M-Exp with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("j0no12/NeroT-86M-Exp", device_map="auto")
  • MLX

    How to use j0no12/NeroT-86M-Exp with MLX:

    # Download the model from the Hub
    pip install huggingface_hub[hf_xet]
    
    huggingface-cli download --local-dir NeroT-86M-Exp j0no12/NeroT-86M-Exp
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • LM Studio
  • Atomic Chat
NeroT-86M-Exp
172 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
j0no12's picture
j0no12
Update README.md
74667d6 verified about 14 hours ago
  • .gitattributes
    1.52 kB
    initial commit 2 days ago
  • README.md
    2.17 kB
    Update README.md about 14 hours ago
  • config.json
    377 Bytes
    Upload folder using huggingface_hub 2 days ago
  • kernels.py
    6.35 kB
    Upload folder using huggingface_hub 2 days ago
  • model.safetensors
    171 MB
    xet
    Upload folder using huggingface_hub 2 days ago
  • modeling_titan_mlx.py
    12.3 kB
    Upload folder using huggingface_hub 2 days ago
  • tokenizer.json
    1.12 MB
    Upload folder using huggingface_hub 2 days ago