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vocab_size × embedding_dim) using custom weights.cd OpenCreateAIcargo run1==================================================
2 OpenCreate Ai v1 - Edge AI Model Initialized
3==================================================
4
5[1] Tokenization Process:
6Input Prompt : OpenCreate
7Encoded IDs : [0, 1, 2, 3, 4, 5, 2, 6, 7, 2]
8
9[2] Embedding Matrix Generated successfully.
10[3] Self-Attention Mechanism Applied (Reasoning active).
11
12[4] Generation & Output Result:
13Generated Output Text/Code : OpenCreatea
14
15[5] Document & Search Pipeline:
16Status: Local Search Indexing & Document Export Ready.
17==================================================| Meta Info | Value |
|---|---|
| License | openrail |
| Language | en |
| Tags | rust, edge-ai, custom-model, tokenizer, self-attention |
OpenCreateAI/
├── Cargo.toml
├── src/
│ ├── main.rs
│ ├── tokenizer.rs
│ ├── embedding.rs
│ ├── attention.rs
│ ├── prediction.rs
│ └── search.rs
└── data/
└── corpus.txt