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Himan-de
/
EidosFormer

Transformers
English
transformer
language-models
long-context
memory-augmented-transformers
eidosformer
causal-language-modeling
ai-research
neural-architecture
episodic-memory
semantic-memory
kNN-inference
compressive-transformer
llama-family
PyTorch
Model card Files Files and versions
xet
Community

Instructions to use Himan-de/EidosFormer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Himan-de/EidosFormer with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Himan-de/EidosFormer", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
EidosFormer
5.08 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Himan-de's picture
Himan-de
Upload README.md with huggingface_hub
3ebb65a verified 1 day ago
  • .gitattributes
    1.52 kB
    initial commit 1 day ago
  • 1b_final.pt
    5.08 GB
    xet
    Upload 1b_final.pt with huggingface_hub 1 day ago
  • README.md
    8 kB
    Upload README.md with huggingface_hub 1 day ago