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chandar-lab
/
NeoBERT

Feature Extraction
Transformers
Safetensors
English
neobert
fill-mask
custom_code
Model card Files Files and versions
xet
Community
13

Instructions to use chandar-lab/NeoBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use chandar-lab/NeoBERT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="chandar-lab/NeoBERT", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForMaskedLM
    model = AutoModelForMaskedLM.from_pretrained("chandar-lab/NeoBERT", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
NeoBERT
982 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 10 commits
Lolalb's picture
Lolalb
Added optional input embeddings to bypass NeoBERT.encoder
8db8475 verified about 1 year ago
  • .gitattributes
    1.57 kB
    Upload logo.jpeg about 1 year ago
  • README.md
    3.65 kB
    Add feature-extraction pipeline tag (#2) about 1 year ago
  • config.json
    928 Bytes
    Minor changes for correct inference (#1) about 1 year ago
  • logo.jpeg
    144 kB
    xet
    Upload logo.jpeg about 1 year ago
  • model.py
    15.4 kB
    Added optional input embeddings to bypass NeoBERT.encoder about 1 year ago
  • model.safetensors
    981 MB
    xet
    Upload NeoBERTLMHead about 1 year ago
  • rotary.py
    2.58 kB
    Upload NeoBERTLMHead about 1 year ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer about 1 year ago
  • tokenizer.json
    711 kB
    Upload tokenizer about 1 year ago
  • tokenizer_config.json
    1.31 kB
    Minor changes for correct inference (#1) about 1 year ago
  • vocab.txt
    232 kB
    Upload tokenizer about 1 year ago