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svsatheesh
/
BabySteps_MurphysLaw-10M-mixed

Fill-Mask
Transformers
PyTorch
English
babylm
babylm-2026
strict-small
gpt-bert
muon
adamuon
sample-efficient-pretraining
custom_code
Model card Files Files and versions
xet
Community
2

Instructions to use svsatheesh/BabySteps_MurphysLaw-10M-mixed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use svsatheesh/BabySteps_MurphysLaw-10M-mixed with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="svsatheesh/BabySteps_MurphysLaw-10M-mixed", trust_remote_code=True)
    # Load model directly
    from transformers import GPTBERTFoCausalLM
    model = GPTBERTFoCausalLM.from_pretrained("svsatheesh/BabySteps_MurphysLaw-10M-mixed", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
BabySteps_MurphysLaw-10M-mixed
266 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
a39c4cc verified about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • config.json
    666 Bytes
    tail-avg as main about 1 month ago
  • configuration_gpt_bert.py
    1.85 kB
    tail-avg as main about 1 month ago
  • model.safetensors
    132 MB
    xet
    Adding `safetensors` variant of this model about 1 month ago
  • modeling_gpt_bert.py
    27.3 kB
    tail-avg as main about 1 month ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    132 MB
    xet
    tail-avg as main about 1 month ago
  • special_tokens_map.json
    167 Bytes
    tail-avg as main about 1 month ago
  • tokenizer.json
    1.12 MB
    tail-avg as main about 1 month ago
  • tokenizer_config.json
    1.2 kB
    tail-avg as main about 1 month ago