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newmindai
/
Mursit-Base

Feature Extraction
Transformers
PyTorch
ONNX
Safetensors
Turkish
English
modernbert
fill-mask
turkish
legal
turkish-legal
mecellem
TRUBA
MN5
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use newmindai/Mursit-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use newmindai/Mursit-Base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="newmindai/Mursit-Base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("newmindai/Mursit-Base")
    model = AutoModelForMaskedLM.from_pretrained("newmindai/Mursit-Base")
  • Notebooks
  • Google Colab
  • Kaggle
Mursit-Base / plots
Ctrl+K
Ctrl+K
  • 2 contributors
History: 1 commit
nmmursit's picture
nmmursit
Initial model upload - clean repository
d15d46e verified 4 months ago
  • eval_loss.png
    302 kB
    xet
    Initial model upload - clean repository 4 months ago
  • eval_masked_accuracy.png
    321 kB
    xet
    Initial model upload - clean repository 4 months ago
  • grad_L2_norm.png
    323 kB
    xet
    Initial model upload - clean repository 4 months ago
  • lr_schedule.png
    353 kB
    xet
    Initial model upload - clean repository 4 months ago
  • train_loss.png
    300 kB
    xet
    Initial model upload - clean repository 4 months ago
  • train_masked_accuracypng.png
    336 kB
    xet
    Initial model upload - clean repository 4 months ago