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T0KII
/
MASRIBERTV4

Fill-Mask
Transformers
Safetensors
bert
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use T0KII/MASRIBERTV4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use T0KII/MASRIBERTV4 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="T0KII/MASRIBERTV4")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("T0KII/MASRIBERTV4")
    model = AutoModelForMaskedLM.from_pretrained("T0KII/MASRIBERTV4", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MASRIBERTV4 / checkpoint-22000
2.88 GB
Ctrl+K
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  • 1 contributor
History: 1 commit
T0KII's picture
T0KII
Training in progress, step 22000, checkpoint
c1be2ac verified about 20 hours ago
  • config.json
    945 Bytes
    Training in progress, step 22000, checkpoint about 20 hours ago
  • model.safetensors
    959 MB
    xet
    Training in progress, step 22000, checkpoint about 20 hours ago
  • optimizer.pt
    1.92 GB
    xet
    Training in progress, step 22000, checkpoint about 20 hours ago
  • rng_state.pth
    14.6 kB
    xet
    Training in progress, step 22000, checkpoint about 20 hours ago
  • scaler.pt
    1.38 kB
    xet
    Training in progress, step 22000, checkpoint about 20 hours ago
  • scheduler.pt
    1.47 kB
    xet
    Training in progress, step 22000, checkpoint about 20 hours ago
  • tokenizer.json
    2.69 MB
    Training in progress, step 22000, checkpoint about 20 hours ago
  • tokenizer_config.json
    402 Bytes
    Training in progress, step 22000, checkpoint about 20 hours ago
  • trainer_state.json
    26.5 kB
    Training in progress, step 22000, checkpoint about 20 hours ago
  • training_args.bin
    5.2 kB
    xet
    Training in progress, step 22000, checkpoint about 20 hours ago