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
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
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