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Hcompany
/
NeoMME-260M-Pretrain-predecay-s450000

Fill-Mask
Transformers
Safetensors
multilingual
neomme
multimodal
continued-pretraining
Model card Files Files and versions
xet
Community

Instructions to use Hcompany/NeoMME-260M-Pretrain-predecay-s450000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Hcompany/NeoMME-260M-Pretrain-predecay-s450000 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="Hcompany/NeoMME-260M-Pretrain-predecay-s450000")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMaskedLM
    
    processor = AutoProcessor.from_pretrained("Hcompany/NeoMME-260M-Pretrain-predecay-s450000")
    model = AutoModelForMaskedLM.from_pretrained("Hcompany/NeoMME-260M-Pretrain-predecay-s450000", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
NeoMME-260M-Pretrain-predecay-s450000
2.91 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
tonywu71's picture
tonywu71
docs: add arXiv citation url
1ceebb6 about 1 month ago
  • .gitattributes
    1.52 kB
    feat: upload neomme files about 1 month ago
  • LICENSE
    11.4 kB
    feat: upload neomme files about 1 month ago
  • README.md
    3.42 kB
    docs: add arXiv citation url about 1 month ago
  • config.json
    1.98 kB
    feat: upload neomme files about 1 month ago
  • model.safetensors
    526 MB
    xet
    feat: upload neomme files about 1 month ago
  • processor_config.json
    424 Bytes
    feat: upload neomme files about 1 month ago
  • tokenizer.json
    10.2 MB
    feat: upload neomme files about 1 month ago
  • tokenizer_config.json
    485 Bytes
    feat: upload neomme files about 1 month ago
  • training_state.pt
    2.37 GB
    xet
    feat: upload neomme files about 1 month ago