Question Answering
Transformers
English
Italian
multilingual
matrix-bios
rag
retrieval
grounded-generation
citations
enterprise
Instructions to use ruslanmv/Matrix-BIOS-Memory-0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ruslanmv/Matrix-BIOS-Memory-0.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ruslanmv/Matrix-BIOS-Memory-0.1")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ruslanmv/Matrix-BIOS-Memory-0.1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| [{"id": "it1", "text": "La capitale d'Italia e Roma."}, {"id": "bios1", "text": "Matrix BIOS is the bio-inspired cognitive substrate (bio + OS) that runs on Matrix OS."}, {"id": "mos1", "text": "In Matrix OS every effectful action emits an evidence bundle."}, {"id": "ml1", "text": "Mamba is a selective state-space model with linear-time sequence modeling."}, {"id": "gp1", "text": "GitPilot is the default AI coder in the Agent-Matrix ecosystem."}, {"id": "ob1", "text": "Only OllaBridge holds the HF_TOKEN; other services use ob_ gateway keys."}] |