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AIRI-Institute
/
gena-lm-bigbird-base-sparse

Transformers
PyTorch
bert
pretraining
dna
human_genome
custom_code
Model card Files Files and versions
xet
Community
1

Instructions to use AIRI-Institute/gena-lm-bigbird-base-sparse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AIRI-Institute/gena-lm-bigbird-base-sparse with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForPreTraining
    
    tokenizer = AutoTokenizer.from_pretrained("AIRI-Institute/gena-lm-bigbird-base-sparse", trust_remote_code=True)
    model = AutoModelForPreTraining.from_pretrained("AIRI-Institute/gena-lm-bigbird-base-sparse", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
gena-lm-bigbird-base-sparse
548 MB
Ctrl+K
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  • 2 contributors
History: 6 commits
yurakuratov's picture
yurakuratov
docs: update usage example
3a9028d almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    4.87 kB
    docs: update usage example almost 3 years ago
  • config.json
    1.09 kB
    Upload file about 3 years ago
  • modeling_bert.py
    97.1 kB
    fix: non sparse models do not require deepspeed anymore almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    547 MB
    xet
    Upload file about 3 years ago
  • special_tokens_map.json
    112 Bytes
    Upload file about 3 years ago
  • tokenizer.json
    1.54 MB
    Upload file about 3 years ago
  • tokenizer_config.json
    46 Bytes
    Upload file about 3 years ago